AWS Data Engineer - Contract (Outside IR35) Location: Oxford Working Patterns: Hybrid - 2 days on site, per week Contract Duration: 6 months, extension likely Opus have partnered with a leading manufacturer who're seeking an experienced AWS Data Engineer to help to design, build and optimise data pipelines to support business reporting, analytics and decision making. You'll be working closely with engineering and technology stakeholders to help in the delivery of reliable data solutions. The Role: This one is heavily focused on development and the maintenance of cloud-based data infrastructure. There is a strong focus on AWS Services, Data Modelling, and Pipeline Performance. This role will suit a candidate who's comfortable working with messy data and turning real-world data into trusted insights. Responsibilities: - Design & build scalable data pipelines of AWS - Ingest, transform and model data from multiple source systems - Work with S3, Glue, Lambda, Athena, Redshift and related AWS Services - Support CI/CD and infrastructure as a code Requirements: - Must have strong, commercial AWS (contract) Data Engineering experience - Must bring solid knowledge of data warehousing and modelling - Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial - Must have experience with Redshift Nice to have: - Experience with dbt / lake formation - One or more AWS Certifications Applications are now open! - Reach out to Adam Akhtar at Opus for further information.
Sep 28, 2026
Contractor
AWS Data Engineer - Contract (Outside IR35) Location: Oxford Working Patterns: Hybrid - 2 days on site, per week Contract Duration: 6 months, extension likely Opus have partnered with a leading manufacturer who're seeking an experienced AWS Data Engineer to help to design, build and optimise data pipelines to support business reporting, analytics and decision making. You'll be working closely with engineering and technology stakeholders to help in the delivery of reliable data solutions. The Role: This one is heavily focused on development and the maintenance of cloud-based data infrastructure. There is a strong focus on AWS Services, Data Modelling, and Pipeline Performance. This role will suit a candidate who's comfortable working with messy data and turning real-world data into trusted insights. Responsibilities: - Design & build scalable data pipelines of AWS - Ingest, transform and model data from multiple source systems - Work with S3, Glue, Lambda, Athena, Redshift and related AWS Services - Support CI/CD and infrastructure as a code Requirements: - Must have strong, commercial AWS (contract) Data Engineering experience - Must bring solid knowledge of data warehousing and modelling - Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial - Must have experience with Redshift Nice to have: - Experience with dbt / lake formation - One or more AWS Certifications Applications are now open! - Reach out to Adam Akhtar at Opus for further information.
Contract Data Engineer / Outside IR35 / Hybrid (one day a week North of Leeds) / (Apply online only) per day We are supporting a major data transformation programme and are looking for an experienced Senior AWS Data Engineer to help deliver the migration of a legacy SQL-based data warehouse into a modern, cloud-native AWS data platform. You'll play a key role in designing and building scalable data solutions, establishing a strategic source of truth for reporting and analytics, and helping to shape the future of the organisation's data capabilities. Key Responsibilities Design and develop scalable AWS-based data lake and data warehouse solutions Build and optimise ETL/ELT pipelines using Python and SQL Migrate data from legacy SQL environments into a cloud-native architecture Essential Skills SQL and Python Hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Athena Data warehouse and data lake design experience ETL/ELT development and optimisation Data migration and integration expertise If this role is of interest, please apply with an up to date CV.
Sep 28, 2026
Contractor
Contract Data Engineer / Outside IR35 / Hybrid (one day a week North of Leeds) / (Apply online only) per day We are supporting a major data transformation programme and are looking for an experienced Senior AWS Data Engineer to help deliver the migration of a legacy SQL-based data warehouse into a modern, cloud-native AWS data platform. You'll play a key role in designing and building scalable data solutions, establishing a strategic source of truth for reporting and analytics, and helping to shape the future of the organisation's data capabilities. Key Responsibilities Design and develop scalable AWS-based data lake and data warehouse solutions Build and optimise ETL/ELT pipelines using Python and SQL Migrate data from legacy SQL environments into a cloud-native architecture Essential Skills SQL and Python Hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Athena Data warehouse and data lake design experience ETL/ELT development and optimisation Data migration and integration expertise If this role is of interest, please apply with an up to date CV.
Data Engineer We are looking for an experienced Data Engineer to join a major data transformation programme on an initial 3-month contract. This is a hands-on role for someone who enjoys building robust, scalable data platforms and pipelines. You will work as part of a wider technical delivery team, helping to develop a modern AWS-based data environment that supports enterprise reporting, analytics and operational decision-making. The successful candidate will ideally be able to attend the Leeds office one day per week. However, flexible arrangements can be discussed for the right person. The role You will play a key part in designing, building and improving cloud-based data solutions. This will include developing data pipelines, integrating data from multiple systems and helping to create trusted, well-governed datasets for reporting and analytics. You will work closely with Data Architects, Analysts, Developers and other technical stakeholders to turn business and technical requirements into practical, scalable solutions. Key responsibilities Design and build scalable data lake and data warehouse solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion Architecture principles. Build and maintain ETL/ELT pipelines across batch, streaming and Change Data Capture (CDC) workloads. Develop reusable transformation frameworks, data models and curated datasets using Python, SQL and dbt. Support data migration and integration activity across a range of source and target systems. Build integrations using APIs, messaging technologies and file-based ingestion methods. Implement data validation, reconciliation and error-handling processes to improve data quality. Support data governance, lineage, security and audit requirements. Help automate deployments and infrastructure using Terraform or CloudFormation. Contribute to CI/CD pipelines using GitHub Actions or similar tooling. Improve monitoring and operational support using tools such as CloudWatch and Splunk. Produce clear technical documentation for pipelines, mappings, transformations and data flows. Promote good engineering practice, automation, standardisation and continuous improvement. About you You will be a capable, delivery-focused Data Engineer with experience working on modern cloud data platforms. You should be comfortable working independently, but equally happy collaborating with a multidisciplinary technical team. You will have strong experience with AWS data services and be confident designing and developing data pipelines in complex transformation, migration or integration environments. Key skills and experience Proven experience designing and delivering AWS-based data platforms. Strong hands-on experience with services such as S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Experience implementing Medallion Architecture, including Bronze, Silver and Gold data layers. Strong data engineering experience across batch, streaming and CDC ingestion patterns. Advanced SQL skills and strong Python development experience. Experience using dbt for data transformation and modelling would be highly beneficial. Experience building and optimising ETL/ELT pipelines. Good understanding of data warehousing, dimensional modelling and analytical data structures. Experience with data integration, APIs, messaging and file-based data ingestion. Knowledge of Terraform or CloudFormation for Infrastructure as Code. Experience with CI/CD tooling, ideally GitHub Actions. Experience with monitoring, observability and data quality frameworks. Knowledge of CloudWatch, Splunk or similar monitoring tools. An understanding of data governance, lineage, validation and security principles. Strong communication skills and the ability to work with both technical and non-technical stakeholders. This is a fast-moving requirement, and we are keen to identify suitable candidates quickly. Please get in touch with relevant profiles.
Sep 27, 2026
Contractor
Data Engineer We are looking for an experienced Data Engineer to join a major data transformation programme on an initial 3-month contract. This is a hands-on role for someone who enjoys building robust, scalable data platforms and pipelines. You will work as part of a wider technical delivery team, helping to develop a modern AWS-based data environment that supports enterprise reporting, analytics and operational decision-making. The successful candidate will ideally be able to attend the Leeds office one day per week. However, flexible arrangements can be discussed for the right person. The role You will play a key part in designing, building and improving cloud-based data solutions. This will include developing data pipelines, integrating data from multiple systems and helping to create trusted, well-governed datasets for reporting and analytics. You will work closely with Data Architects, Analysts, Developers and other technical stakeholders to turn business and technical requirements into practical, scalable solutions. Key responsibilities Design and build scalable data lake and data warehouse solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion Architecture principles. Build and maintain ETL/ELT pipelines across batch, streaming and Change Data Capture (CDC) workloads. Develop reusable transformation frameworks, data models and curated datasets using Python, SQL and dbt. Support data migration and integration activity across a range of source and target systems. Build integrations using APIs, messaging technologies and file-based ingestion methods. Implement data validation, reconciliation and error-handling processes to improve data quality. Support data governance, lineage, security and audit requirements. Help automate deployments and infrastructure using Terraform or CloudFormation. Contribute to CI/CD pipelines using GitHub Actions or similar tooling. Improve monitoring and operational support using tools such as CloudWatch and Splunk. Produce clear technical documentation for pipelines, mappings, transformations and data flows. Promote good engineering practice, automation, standardisation and continuous improvement. About you You will be a capable, delivery-focused Data Engineer with experience working on modern cloud data platforms. You should be comfortable working independently, but equally happy collaborating with a multidisciplinary technical team. You will have strong experience with AWS data services and be confident designing and developing data pipelines in complex transformation, migration or integration environments. Key skills and experience Proven experience designing and delivering AWS-based data platforms. Strong hands-on experience with services such as S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Experience implementing Medallion Architecture, including Bronze, Silver and Gold data layers. Strong data engineering experience across batch, streaming and CDC ingestion patterns. Advanced SQL skills and strong Python development experience. Experience using dbt for data transformation and modelling would be highly beneficial. Experience building and optimising ETL/ELT pipelines. Good understanding of data warehousing, dimensional modelling and analytical data structures. Experience with data integration, APIs, messaging and file-based data ingestion. Knowledge of Terraform or CloudFormation for Infrastructure as Code. Experience with CI/CD tooling, ideally GitHub Actions. Experience with monitoring, observability and data quality frameworks. Knowledge of CloudWatch, Splunk or similar monitoring tools. An understanding of data governance, lineage, validation and security principles. Strong communication skills and the ability to work with both technical and non-technical stakeholders. This is a fast-moving requirement, and we are keen to identify suitable candidates quickly. Please get in touch with relevant profiles.
University of Birmingham
Birmingham, Staffordshire
Position Details Department of Pharmacy, School of Health Sciences, College of Medicine and Health Job Description Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to February 2028 Closing date: 23 rd September 2026 Background We are seeking an outstanding Postdoctoral Research Fellow to join an ambitious research programme addressing a major challenge in mitochondrial genome engineering: the efficient and reliable delivery of nucleic acids into mitochondria. The successful candidate will work within a highly interdisciplinary programme bringing together expertise in nanomedicine, advanced materials, mitochondrial biology, genome engineering and synthetic biology. Based at the Department of Pharmacy at University of Birmingham, the post-holder will contribute to the development of advanced nanomaterial-based delivery technologies for mitochondrial applications. The role will have a strong focus on nanomaterial engineering and surface chemistry, including chemical functionalisation, biomolecular conjugation and detailed physicochemical characterisation of nanomaterials. The post-holder will investigate how engineered nanomaterials interact with biological systems and contribute to their optimisation for intracellular and organelle-specific delivery. This is an exciting opportunity to contribute to a high-risk, high-reward research programme while developing new technologies at the interface of nanomaterials, chemistry and nanomedicine. This job is part of an Advanced Research and Innovation Agency (ARIA) funded project. Role Summary The post-holder will contribute to an ARIA funded research project developing innovative nanomaterial-based technologies for mitochondrial nucleic acid delivery. Working within their area of specialism, the post-holder will contribute to the design, development and evaluation of advanced nanomaterial-based delivery systems and to the wider objectives of the research programme. The role will involve: Working within specified research grants and projects and contributing to the development of new research directions and research proposals. Operating within the areas of nanomaterials, surface chemistry, nanomedicine and intracellular delivery, with a focus on in vitro cellular uptake and nanotoxicology Designing, synthesising, functionalising and characterising advanced nanomaterial-based delivery systems and evaluating their performance for mitochondrial delivery. Analysing and interpreting physicochemical and biological research findings and results, applying knowledge to develop new methods and approaches. Contributing to research funding applications and wider research outputs, including publications, presentations and collaborative activities. Contributing to enterprise, knowledge exchange, commercialisation and/or public engagement activities, where appropriate. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters Provide guidance, as required, to support staff and any students who may be assisting with the research Deal with problems that may affect the achievement of research objectives and deadlines Fosters a fair and equitable workplace for all staff Identify and respond to equality and diversity issues in line with relevant university policies and procedures Other relevant criteria from our equality and diversity duties document. Person Specification Essentials A PhD relevant to the research area, such as Chemistry, Nanotechnology, Materials Science, Chemical Engineering, Pharmaceutical Sciences, Biomedical Engineering or a closely related discipline, or near completion. Demonstrable hands-on experience in the chemical functionalisation or surface modification of nanomaterials. Experience in the synthesis, preparation or optimisation of nanoparticles or other nanomaterials. Practical experience in the physicochemical characterisation of nanomaterials, including techniques for assessing particle size, morphology, surface chemistry, surface charge and/or colloidal stability High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics and duties under the Equality Act 2010. Including fostering good relations and advancing the universities Public Sector Equality Duty (PSED). Other relevant criteria from our equality and diversity knowledge, skills and experience document. Desirable Experience with carbon nanotubes or other high-aspect-ratio nanomaterials. Experience in the chemical functionalisation and surface modification of nanomaterials, including conjugation of peptides, proteins or targeting ligands and/or nucleic acid loading Experience with physicochemical and surface characterisation of nanomaterials, including techniques such as electron microscopy, Raman and FTIR spectroscopy, XPS, thermogravimetric analysis, dynamic light scattering and zeta potential. Experience in nanomedicine, drug delivery or nucleic acid delivery. Experience with mammalian cell culture or biological evaluation of nanomaterials. Experience in nanotoxicology, cytocompatibility or safe-by-design nanomaterial development. Experience in mitochondrial biology, intracellular delivery or organelle-targeted delivery. Experience of working in interdisciplinary and collaborative research environments. Further particulars can be found here Informal enquiries to Hanene Ali-Boucetta , email: Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview. We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website.
Sep 24, 2026
Full time
Position Details Department of Pharmacy, School of Health Sciences, College of Medicine and Health Job Description Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to February 2028 Closing date: 23 rd September 2026 Background We are seeking an outstanding Postdoctoral Research Fellow to join an ambitious research programme addressing a major challenge in mitochondrial genome engineering: the efficient and reliable delivery of nucleic acids into mitochondria. The successful candidate will work within a highly interdisciplinary programme bringing together expertise in nanomedicine, advanced materials, mitochondrial biology, genome engineering and synthetic biology. Based at the Department of Pharmacy at University of Birmingham, the post-holder will contribute to the development of advanced nanomaterial-based delivery technologies for mitochondrial applications. The role will have a strong focus on nanomaterial engineering and surface chemistry, including chemical functionalisation, biomolecular conjugation and detailed physicochemical characterisation of nanomaterials. The post-holder will investigate how engineered nanomaterials interact with biological systems and contribute to their optimisation for intracellular and organelle-specific delivery. This is an exciting opportunity to contribute to a high-risk, high-reward research programme while developing new technologies at the interface of nanomaterials, chemistry and nanomedicine. This job is part of an Advanced Research and Innovation Agency (ARIA) funded project. Role Summary The post-holder will contribute to an ARIA funded research project developing innovative nanomaterial-based technologies for mitochondrial nucleic acid delivery. Working within their area of specialism, the post-holder will contribute to the design, development and evaluation of advanced nanomaterial-based delivery systems and to the wider objectives of the research programme. The role will involve: Working within specified research grants and projects and contributing to the development of new research directions and research proposals. Operating within the areas of nanomaterials, surface chemistry, nanomedicine and intracellular delivery, with a focus on in vitro cellular uptake and nanotoxicology Designing, synthesising, functionalising and characterising advanced nanomaterial-based delivery systems and evaluating their performance for mitochondrial delivery. Analysing and interpreting physicochemical and biological research findings and results, applying knowledge to develop new methods and approaches. Contributing to research funding applications and wider research outputs, including publications, presentations and collaborative activities. Contributing to enterprise, knowledge exchange, commercialisation and/or public engagement activities, where appropriate. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters Provide guidance, as required, to support staff and any students who may be assisting with the research Deal with problems that may affect the achievement of research objectives and deadlines Fosters a fair and equitable workplace for all staff Identify and respond to equality and diversity issues in line with relevant university policies and procedures Other relevant criteria from our equality and diversity duties document. Person Specification Essentials A PhD relevant to the research area, such as Chemistry, Nanotechnology, Materials Science, Chemical Engineering, Pharmaceutical Sciences, Biomedical Engineering or a closely related discipline, or near completion. Demonstrable hands-on experience in the chemical functionalisation or surface modification of nanomaterials. Experience in the synthesis, preparation or optimisation of nanoparticles or other nanomaterials. Practical experience in the physicochemical characterisation of nanomaterials, including techniques for assessing particle size, morphology, surface chemistry, surface charge and/or colloidal stability High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics and duties under the Equality Act 2010. Including fostering good relations and advancing the universities Public Sector Equality Duty (PSED). Other relevant criteria from our equality and diversity knowledge, skills and experience document. Desirable Experience with carbon nanotubes or other high-aspect-ratio nanomaterials. Experience in the chemical functionalisation and surface modification of nanomaterials, including conjugation of peptides, proteins or targeting ligands and/or nucleic acid loading Experience with physicochemical and surface characterisation of nanomaterials, including techniques such as electron microscopy, Raman and FTIR spectroscopy, XPS, thermogravimetric analysis, dynamic light scattering and zeta potential. Experience in nanomedicine, drug delivery or nucleic acid delivery. Experience with mammalian cell culture or biological evaluation of nanomaterials. Experience in nanotoxicology, cytocompatibility or safe-by-design nanomaterial development. Experience in mitochondrial biology, intracellular delivery or organelle-targeted delivery. Experience of working in interdisciplinary and collaborative research environments. Further particulars can be found here Informal enquiries to Hanene Ali-Boucetta , email: Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview. We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website.
Principal Cloud Engineer (Terraform) London About the Role As a CBRE Systems Engineer Principal -AI & CLoud Engineer, you will be an embedded technical expert within the Cloud Engineering & FinOps team, working alongside fellow FinOps engineers to build, maintain, and continuously improve the data and AI/ML capabilities that power CBRE's cloud cost management practice. You bring deep, hands on expertise in data engineering and AI/ML, and you apply that expertise directly to FinOps problems - building the pipelines, models, and analytical tools that the team depends on every day. This role is a principal-level individual contributor. You are a highly skilled practitioner who goes deep on the most technically complex problems: designing high-quality data pipelines, developing and tuning AI/ML models, optimizing database performance, and translating raw multi-cloud billing data into reliable, actionable intelligence. You collaborate closely with FinOps analysts, cloud engineers, and platform leads to deliver engineering work that raises the quality and capability of the entire practice. What You'll Do Cloud Engineering & ETL/ELT Pipeline Development Build, maintain, and improve ELT/ETL pipelines that ingest billing, usage, and tagging data from AWS, Azure, and GCP into CBRE's centralized FinOps data store, applying modern pipeline patterns including event-driven ingestion, incremental loading, and change data capture. Design and implement layered data models and transformation logic (raw, conformed, aggregated) using tools such as dbt, Spark, and cloud-native processing services, ensuring data is clean, consistent, and ready for downstream consumption. Develop modular, reusable data transformation components and functions that can be shared across FinOps pipelines, reducing duplication and improving maintainability across the platform. Manage production pipelines end-to-end - orchestration, scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues proactively. Build and maintain reusable data assets - curated datasets, aggregations, and data marts - that power FinOps dashboards, showback/chargeback reporting, and AI/ML model inputs. Microservices & Platform Feature Development Design and build modular microservices and APIs that expose FinOps data and AI/ML capabilities as reusable services - enabling other teams and internal platforms to consume cost intelligence programmatically. Contribute new features and capabilities to CBRE's FinOps platform, translating analyst and engineering requirements into well-structured, production-ready service components. Integrate data and AI services with internal platforms such as AIDP (Automated Infrastructure Deployment Platform) and ECMP (Enterprise Container Management Platform), embedding cost signals directly into existing engineering workflows. Follow software engineering best practices in all platform work: clean interfaces, unit testing, API versioning, containerization, and CI/CD deployment pipelines. Identify opportunities to refactor or modularize existing FinOps platform components, improving reliability, scalability, and ease of maintenance. AI/ML Model Development Develop, train, and evaluate machine learning models that address core FinOps use cases: cost anomaly detection, spend forecasting, workload rightsizing recommendations, and commitment coverage optimization. Implement and maintain MLOps pipelines for model versioning, automated retraining, performance monitoring, and drift detection as cloud usage patterns evolve. Experiment with and apply generative AI and LLM capabilities to FinOps workflows - such as natural language interfaces for cost querying, AI-assisted tagging remediation, or intelligent cost allocation suggestions. Collaborate with FinOps analysts to validate model outputs against business expectations, refining approaches iteratively based on real-world feedback. Document model design, feature engineering decisions, and evaluation results to ensure team-wide understanding and reproducibility. Quality, Governance & Best Practices Implement and uphold data governance standards: lineage tracking, cataloging, column-level security, and RBAC for sensitive cost and financial data. Follow and actively contribute to team engineering standards for code quality, testing, documentation, and CI/CD - raising the bar for the team's collective output through code reviews and knowledge sharing. Apply extensive and diversified knowledge of data engineering principles, advanced techniques, and theories to solve complex FinOps data challenges. Lead by example and model behaviors consistent with CBRE RISE values - Respect, Integrity, Service, and Excellence. What You'll Need Bachelor's Degree preferred relevant experience. In lieu of a degree, a combination of experience and education will be considered. Hands on data engineering experience in production environments: ELT/ETL pipelines, lakehouses, data warehouses, and large scale analytical workloads. Applied AI/ML engineering experience with a track record of delivering models into production. Software or platform engineering experience building APIs, microservices, or backend services in a cloud environment. Experience working with cloud billing data, FinOps tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow / Azure Data Factory or equivalent orchestration, Data Lake / Apache Iceberg, and advanced SQL for large scale transformations. Microservices & APIs: experience building modular, production grade microservices and REST APIs using Python (FastAPI, Flask, or equivalent); understanding of service design principles including versioning, fault tolerance, and observability. Cloud platforms: working knowledge of cost and usage data schemas across Azure (Cost Management, Synapse / Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/CD, containerization (Docker / Kubernetes), and infrastructure as code familiarity (Terraform or Bicep). Data governance: experience with data cataloging, lineage, access controls, and data quality frameworks in production data platforms. Competencies In-depth expertise in leading edge data engineering and AI/ML techniques and technologies, with the ability to identify and solve complex technical problems independently. Multi dimensional, conceptual, and innovative thinking - able to design creative solutions to FinOps data and AI challenges without direct supervision. Strong collaboration and communication skills - comfortable working alongside engineers and analysts at all levels, explaining technical work clearly to non technical stakeholders. Detail oriented approach to data quality, model reliability, and engineering rigor - takes ownership of the accuracy and dependability of the work delivered. Expert organizational skills with an unrivaled inquisitive mindset. In depth knowledge of Microsoft Office products including Word, Excel, and Outlook. Preferred Qualifications FinOps Certified Practitioner (FOCP) designation from the FinOps Foundation. Cloud data or AI certifications (e.g., Azure Data Engineer Associate, AWS Data Engineer Associate, GCP Professional Data Engineer, or equivalent ML/AI certifications). Experience with real time or near real time cost event streaming and alerting pipelines. Familiarity with FinOps Foundation framework concepts including the Inform, Optimize, and Operate phases. Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to realize your full potential. Our Values in Hiring At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
Sep 23, 2026
Full time
Principal Cloud Engineer (Terraform) London About the Role As a CBRE Systems Engineer Principal -AI & CLoud Engineer, you will be an embedded technical expert within the Cloud Engineering & FinOps team, working alongside fellow FinOps engineers to build, maintain, and continuously improve the data and AI/ML capabilities that power CBRE's cloud cost management practice. You bring deep, hands on expertise in data engineering and AI/ML, and you apply that expertise directly to FinOps problems - building the pipelines, models, and analytical tools that the team depends on every day. This role is a principal-level individual contributor. You are a highly skilled practitioner who goes deep on the most technically complex problems: designing high-quality data pipelines, developing and tuning AI/ML models, optimizing database performance, and translating raw multi-cloud billing data into reliable, actionable intelligence. You collaborate closely with FinOps analysts, cloud engineers, and platform leads to deliver engineering work that raises the quality and capability of the entire practice. What You'll Do Cloud Engineering & ETL/ELT Pipeline Development Build, maintain, and improve ELT/ETL pipelines that ingest billing, usage, and tagging data from AWS, Azure, and GCP into CBRE's centralized FinOps data store, applying modern pipeline patterns including event-driven ingestion, incremental loading, and change data capture. Design and implement layered data models and transformation logic (raw, conformed, aggregated) using tools such as dbt, Spark, and cloud-native processing services, ensuring data is clean, consistent, and ready for downstream consumption. Develop modular, reusable data transformation components and functions that can be shared across FinOps pipelines, reducing duplication and improving maintainability across the platform. Manage production pipelines end-to-end - orchestration, scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues proactively. Build and maintain reusable data assets - curated datasets, aggregations, and data marts - that power FinOps dashboards, showback/chargeback reporting, and AI/ML model inputs. Microservices & Platform Feature Development Design and build modular microservices and APIs that expose FinOps data and AI/ML capabilities as reusable services - enabling other teams and internal platforms to consume cost intelligence programmatically. Contribute new features and capabilities to CBRE's FinOps platform, translating analyst and engineering requirements into well-structured, production-ready service components. Integrate data and AI services with internal platforms such as AIDP (Automated Infrastructure Deployment Platform) and ECMP (Enterprise Container Management Platform), embedding cost signals directly into existing engineering workflows. Follow software engineering best practices in all platform work: clean interfaces, unit testing, API versioning, containerization, and CI/CD deployment pipelines. Identify opportunities to refactor or modularize existing FinOps platform components, improving reliability, scalability, and ease of maintenance. AI/ML Model Development Develop, train, and evaluate machine learning models that address core FinOps use cases: cost anomaly detection, spend forecasting, workload rightsizing recommendations, and commitment coverage optimization. Implement and maintain MLOps pipelines for model versioning, automated retraining, performance monitoring, and drift detection as cloud usage patterns evolve. Experiment with and apply generative AI and LLM capabilities to FinOps workflows - such as natural language interfaces for cost querying, AI-assisted tagging remediation, or intelligent cost allocation suggestions. Collaborate with FinOps analysts to validate model outputs against business expectations, refining approaches iteratively based on real-world feedback. Document model design, feature engineering decisions, and evaluation results to ensure team-wide understanding and reproducibility. Quality, Governance & Best Practices Implement and uphold data governance standards: lineage tracking, cataloging, column-level security, and RBAC for sensitive cost and financial data. Follow and actively contribute to team engineering standards for code quality, testing, documentation, and CI/CD - raising the bar for the team's collective output through code reviews and knowledge sharing. Apply extensive and diversified knowledge of data engineering principles, advanced techniques, and theories to solve complex FinOps data challenges. Lead by example and model behaviors consistent with CBRE RISE values - Respect, Integrity, Service, and Excellence. What You'll Need Bachelor's Degree preferred relevant experience. In lieu of a degree, a combination of experience and education will be considered. Hands on data engineering experience in production environments: ELT/ETL pipelines, lakehouses, data warehouses, and large scale analytical workloads. Applied AI/ML engineering experience with a track record of delivering models into production. Software or platform engineering experience building APIs, microservices, or backend services in a cloud environment. Experience working with cloud billing data, FinOps tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow / Azure Data Factory or equivalent orchestration, Data Lake / Apache Iceberg, and advanced SQL for large scale transformations. Microservices & APIs: experience building modular, production grade microservices and REST APIs using Python (FastAPI, Flask, or equivalent); understanding of service design principles including versioning, fault tolerance, and observability. Cloud platforms: working knowledge of cost and usage data schemas across Azure (Cost Management, Synapse / Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/CD, containerization (Docker / Kubernetes), and infrastructure as code familiarity (Terraform or Bicep). Data governance: experience with data cataloging, lineage, access controls, and data quality frameworks in production data platforms. Competencies In-depth expertise in leading edge data engineering and AI/ML techniques and technologies, with the ability to identify and solve complex technical problems independently. Multi dimensional, conceptual, and innovative thinking - able to design creative solutions to FinOps data and AI challenges without direct supervision. Strong collaboration and communication skills - comfortable working alongside engineers and analysts at all levels, explaining technical work clearly to non technical stakeholders. Detail oriented approach to data quality, model reliability, and engineering rigor - takes ownership of the accuracy and dependability of the work delivered. Expert organizational skills with an unrivaled inquisitive mindset. In depth knowledge of Microsoft Office products including Word, Excel, and Outlook. Preferred Qualifications FinOps Certified Practitioner (FOCP) designation from the FinOps Foundation. Cloud data or AI certifications (e.g., Azure Data Engineer Associate, AWS Data Engineer Associate, GCP Professional Data Engineer, or equivalent ML/AI certifications). Experience with real time or near real time cost event streaming and alerting pipelines. Familiarity with FinOps Foundation framework concepts including the Inform, Optimize, and Operate phases. Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to realize your full potential. Our Values in Hiring At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
This is an exciting opportunity where we're exploring local Sr Lead Security Engineering talent who need flexibility, with the potential to present qualified candidates to managers for part-time or job-share roles. Part-time hours where two people share the responsibilities. We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank - Markets - Commodities Technology, you hold a technical leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. You will will set the vision, strategy, and operating model for our SRE transformation - enabling our business-aligned support teams to deliver higher reliability, stronger resilience, and a measurably better end-user experience across the board. Job responsibilities Defines the SRE vision, north-star outcomes, and multi-year roadmap for the Production Management team, aligned to both CIB and JPM Global Technology priorities. Establishes the SRE operating model across global regions (ways of working, intake, prioritization, engagement with engineering teams and production support). Partners with business-aligned Production Support leads to embed SRE practices consistently and act as a force multiplier - coaching them on reliability thinking, prioritization, and "engineering out" operational load. Builds and develops a small, high-impact core SRE team (and/or virtual SRE community of practice) that scales reliability improvements across many application flows. Defines and implements standards for: Service cataloging, SLO/SLI frameworks and error budgets, incident response maturity, blameless post-incident reviews, resiliency patterns, capacity, performance, and scalability engineering. Drives service reviews with evidence-based reporting (availability, latency, incident trends, MTTR/MTTD, change failure rate, customer impact). Champions AI adoption and deliver AI-enabled capabilities to reduce operational toil and improve speed/quality of response. Sets direction for observability across logs/metrics/traces, including instrumentation standards, golden signals, and end-user journey monitoring. Improves alert quality and routing: reduce false positives, improve actionable alerts, and tighten feedback loops to engineering teams. Builds strong partnerships with application development teams, platform/infrastructure partners, and governance functions. Communicates clearly and credibly at all levels-from engineers to senior technology and business stakeholders. Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills 10+ years of experience in technology support, production/application support, DevOps, or infrastructure management. Demonstrated experience leading SRE/reliability engineering or production engineering transformations in a complex enterprise environment. Strong engineering background: ability to design, build, and deliver automation and reliability solutions. Fluency & expertise in Python Deep practical knowledge of: SLOs/SLIs, error budgets, incident management, postmortems, observability design across metrics/logs/traces and distributed systems troubleshooting, resilience engineering, performance/capacity management, and change risk reduction. Proficiency and experience with telemetry (logs/metrics/traces) collection using tools and standards such as Prometheus, Open Telemetry, Datadog, Dynatrace, Splunk. Experience delivering automation at scale (scripting, workflow automation, runbook automation, CI/CD-integrated guardrails). Proven leadership skills: influencing without authority, coaching leaders, and building communities of practice. Strong judgment around risk, security, and controls-especially when applying AI to production workflows. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations. Preferred qualifications, capabilities, and skills Familiarity with Athena / prior experience in Athena Your Pathway to Jobsharing at JPMorgan - IT'S A 2 BRAINER! At JPMorgan we are passionate about supporting different ways of working to support our talent in the flexibility they need. We know that Jobshare is a fantastic way to hire talent for the firm that offers both the flexibility that you need whilst providing the consistency that our business requires. Jobshare is 2 people working part time hours with full time powers. This role is part of a Jobshare opportunity and therefore a part-time role at 19hours
Sep 23, 2026
Full time
This is an exciting opportunity where we're exploring local Sr Lead Security Engineering talent who need flexibility, with the potential to present qualified candidates to managers for part-time or job-share roles. Part-time hours where two people share the responsibilities. We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank - Markets - Commodities Technology, you hold a technical leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. You will will set the vision, strategy, and operating model for our SRE transformation - enabling our business-aligned support teams to deliver higher reliability, stronger resilience, and a measurably better end-user experience across the board. Job responsibilities Defines the SRE vision, north-star outcomes, and multi-year roadmap for the Production Management team, aligned to both CIB and JPM Global Technology priorities. Establishes the SRE operating model across global regions (ways of working, intake, prioritization, engagement with engineering teams and production support). Partners with business-aligned Production Support leads to embed SRE practices consistently and act as a force multiplier - coaching them on reliability thinking, prioritization, and "engineering out" operational load. Builds and develops a small, high-impact core SRE team (and/or virtual SRE community of practice) that scales reliability improvements across many application flows. Defines and implements standards for: Service cataloging, SLO/SLI frameworks and error budgets, incident response maturity, blameless post-incident reviews, resiliency patterns, capacity, performance, and scalability engineering. Drives service reviews with evidence-based reporting (availability, latency, incident trends, MTTR/MTTD, change failure rate, customer impact). Champions AI adoption and deliver AI-enabled capabilities to reduce operational toil and improve speed/quality of response. Sets direction for observability across logs/metrics/traces, including instrumentation standards, golden signals, and end-user journey monitoring. Improves alert quality and routing: reduce false positives, improve actionable alerts, and tighten feedback loops to engineering teams. Builds strong partnerships with application development teams, platform/infrastructure partners, and governance functions. Communicates clearly and credibly at all levels-from engineers to senior technology and business stakeholders. Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills 10+ years of experience in technology support, production/application support, DevOps, or infrastructure management. Demonstrated experience leading SRE/reliability engineering or production engineering transformations in a complex enterprise environment. Strong engineering background: ability to design, build, and deliver automation and reliability solutions. Fluency & expertise in Python Deep practical knowledge of: SLOs/SLIs, error budgets, incident management, postmortems, observability design across metrics/logs/traces and distributed systems troubleshooting, resilience engineering, performance/capacity management, and change risk reduction. Proficiency and experience with telemetry (logs/metrics/traces) collection using tools and standards such as Prometheus, Open Telemetry, Datadog, Dynatrace, Splunk. Experience delivering automation at scale (scripting, workflow automation, runbook automation, CI/CD-integrated guardrails). Proven leadership skills: influencing without authority, coaching leaders, and building communities of practice. Strong judgment around risk, security, and controls-especially when applying AI to production workflows. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations. Preferred qualifications, capabilities, and skills Familiarity with Athena / prior experience in Athena Your Pathway to Jobsharing at JPMorgan - IT'S A 2 BRAINER! At JPMorgan we are passionate about supporting different ways of working to support our talent in the flexibility they need. We know that Jobshare is a fantastic way to hire talent for the firm that offers both the flexibility that you need whilst providing the consistency that our business requires. Jobshare is 2 people working part time hours with full time powers. This role is part of a Jobshare opportunity and therefore a part-time role at 19hours
Funding End Date 30 Jun 2031 Hours per week 37 Project Title Identification of polarity determining factors in C4 bundle sheath cells Expected/Ideal Start Date 01 Aug 2026 Months Duration 36 Closing date 15 June 2026 Job Description Main Purpose of the Job Postdoctoral Researchers work with limited supervision to carry out individual and collaborative research projects relevant to the overall needs of the research programme. Key Relationships Internal: Line manager (Tina Schreier), group members and, as necessary, other researchers, research support staff and students across the Institute. External: Collaborators Main Activities & Responsibilities Percentage Identify, plan, carry out and modify experiments to meet the objectives of the project 60 Prepare results, reports and manuscripts for publication in leading scientific journals and other relevant media 10 Collaborate with colleagues (group members and collaborators) in the development of original and world class research, including contributing to research proposals and grant applications 5 Participate in the supervision of the group's students, providing advice and demonstrating experimental techniques 5 Ensure research and record keeping is carried out in accordance with good practice, Scientific Integrity and in compliance with local policies and any legal requirements 5 Contribute to the smooth running of the group, including the effective use of resources, supervision of visitors to the laboratory and assisting with training others, encouraging scientific excellence 5 Continually strive for excellence, seeking out and acting on feedback and relevant learning and development opportunities 5 As agreed with the line manager, any other duties commensurate with the nature of the post, for example, contributing to the work of Institute committees 5 Disseminate research findings through presentations to various audiences at internal, national and international meetings Person Profile Education & Qualifications Requirement Importance PhD (full award or expected within 6 months) or equivalent in plant biology or a related discipline Essential BSc or equivalent in biology or biochemistry Essential Specialist Knowledge & Skills Requirement Importance In depth knowledge of plant biology (with focus of expertise in plant biochemistry OR plant cell biology) Essential Extensive knowledge of protein protein interaction analysis, and experience demonstrated through prior research experience and publication track record Essential Experience and knowledge in molecular cloning techniques Essential Experience in proximity labelling techniques Essential Knowledge and experience in plasmodesmata OR chloroplast research Desirable Experience in working with monocot crops (preferably maize or sorghum) Desirable Requirement Importance Experience of supervising, training and mentoring visitors and students Essential Demonstrated ability to perform research and develop novel ideas in the area of plant molecular biology Essential Experience in the isolation and characterisation of transgenic lines Essential Experience of oral research presentations Desirable Preparing data / information for grant proposals Desirable Proven record in scientific writing Desirable Interpersonal & Communication Skills Requirement Importance Excellent communication skills, both written and oral, including the ability to present complex information with clarity Essential Good interpersonal skills, with the ability to work as part of a team Essential Demonstrated ability to work independently, using initiative and applying problem solving skills Essential Excellent time management and organisational skills Essential Ability to collaborate with internal and external stakeholders Essential Ability to follow instructions/Standard Operating Procedures Essential Promotes and strives for continuous improvement Essential Additional Requirements Requirement Importance Promotes equality and values diversity Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Ability to maintain confidentiality and security of information where appropriate Essential Willingness to work outside standard working hours when required Essential Ability to undertake occasional travel (national and international) related to collaborations and/or seminars Essential Attention to detail Essential Benefits and EEO Statement We are an equal opportunities employer, actively supporting inclusivity and diversity. As a Disability Confident organisation, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. We are proud to hold a prestigious Gold Athena SWAN award in recognition of our inclusive culture, commitment and good practices towards advancing gender equality. We offer an exciting, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall's Diversity Champions programme. Job Title: Postdoctoral Researcher Salary: £37,500 - £45,350 per annum depending on qualifications and experience Contract: 36 months, full time Location: John Innes Centre, Norwich, UK Reference:
May 30, 2026
Full time
Funding End Date 30 Jun 2031 Hours per week 37 Project Title Identification of polarity determining factors in C4 bundle sheath cells Expected/Ideal Start Date 01 Aug 2026 Months Duration 36 Closing date 15 June 2026 Job Description Main Purpose of the Job Postdoctoral Researchers work with limited supervision to carry out individual and collaborative research projects relevant to the overall needs of the research programme. Key Relationships Internal: Line manager (Tina Schreier), group members and, as necessary, other researchers, research support staff and students across the Institute. External: Collaborators Main Activities & Responsibilities Percentage Identify, plan, carry out and modify experiments to meet the objectives of the project 60 Prepare results, reports and manuscripts for publication in leading scientific journals and other relevant media 10 Collaborate with colleagues (group members and collaborators) in the development of original and world class research, including contributing to research proposals and grant applications 5 Participate in the supervision of the group's students, providing advice and demonstrating experimental techniques 5 Ensure research and record keeping is carried out in accordance with good practice, Scientific Integrity and in compliance with local policies and any legal requirements 5 Contribute to the smooth running of the group, including the effective use of resources, supervision of visitors to the laboratory and assisting with training others, encouraging scientific excellence 5 Continually strive for excellence, seeking out and acting on feedback and relevant learning and development opportunities 5 As agreed with the line manager, any other duties commensurate with the nature of the post, for example, contributing to the work of Institute committees 5 Disseminate research findings through presentations to various audiences at internal, national and international meetings Person Profile Education & Qualifications Requirement Importance PhD (full award or expected within 6 months) or equivalent in plant biology or a related discipline Essential BSc or equivalent in biology or biochemistry Essential Specialist Knowledge & Skills Requirement Importance In depth knowledge of plant biology (with focus of expertise in plant biochemistry OR plant cell biology) Essential Extensive knowledge of protein protein interaction analysis, and experience demonstrated through prior research experience and publication track record Essential Experience and knowledge in molecular cloning techniques Essential Experience in proximity labelling techniques Essential Knowledge and experience in plasmodesmata OR chloroplast research Desirable Experience in working with monocot crops (preferably maize or sorghum) Desirable Requirement Importance Experience of supervising, training and mentoring visitors and students Essential Demonstrated ability to perform research and develop novel ideas in the area of plant molecular biology Essential Experience in the isolation and characterisation of transgenic lines Essential Experience of oral research presentations Desirable Preparing data / information for grant proposals Desirable Proven record in scientific writing Desirable Interpersonal & Communication Skills Requirement Importance Excellent communication skills, both written and oral, including the ability to present complex information with clarity Essential Good interpersonal skills, with the ability to work as part of a team Essential Demonstrated ability to work independently, using initiative and applying problem solving skills Essential Excellent time management and organisational skills Essential Ability to collaborate with internal and external stakeholders Essential Ability to follow instructions/Standard Operating Procedures Essential Promotes and strives for continuous improvement Essential Additional Requirements Requirement Importance Promotes equality and values diversity Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Ability to maintain confidentiality and security of information where appropriate Essential Willingness to work outside standard working hours when required Essential Ability to undertake occasional travel (national and international) related to collaborations and/or seminars Essential Attention to detail Essential Benefits and EEO Statement We are an equal opportunities employer, actively supporting inclusivity and diversity. As a Disability Confident organisation, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. We are proud to hold a prestigious Gold Athena SWAN award in recognition of our inclusive culture, commitment and good practices towards advancing gender equality. We offer an exciting, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall's Diversity Champions programme. Job Title: Postdoctoral Researcher Salary: £37,500 - £45,350 per annum depending on qualifications and experience Contract: 36 months, full time Location: John Innes Centre, Norwich, UK Reference:
Opus Recruitment Solutions Ltd
Newcastle Upon Tyne, Tyne And Wear
Test Engineer (Data & Automation) Overview We are seeking an experienced Test Engineer to support the delivery of high-quality data and application solutions. This role focuses on automation, data validation, and production analysis within a modern cloud-based environment. You will play a key role in ensuring system reliability, improving testing frameworks, and driving best practices across engineering teams.This is a collaborative position requiring strong technical expertise, analytical thinking, and the ability to mentor others while working across complex data platforms. Key Responsibilities Design, develop, and maintain automated test frameworks to improve testing efficiency and coverage Analyse and interpret test results, identifying risks, issues, and areas for improvement Produce clear reports on testing activities, outcomes, and associated risks Automate data validation and application testing processes across distributed systems Investigate production issues using data analysis to identify root causes Work with orchestration tools (e.g., Apache Airflow) to monitor workflows and troubleshoot failures Validate data using tools such as Jupyter Notebooks and Amazon Athena Analyse data across multiple formats to ensure integrity and correctness of new functionality Support CI/CD practices using Git-based workflows and pipeline automation Participate in infrastructure and deployment activities, including containerisation and Infrastructure as Code Collaborate with cross-functional teams to translate business requirements into testable solutions Mentor and guide team members on testing methodologies and best practices Key Skills & Experience Technical Skills Proficiency in Python, SQL, and at least one additional programming language (e.g., Java) Experience with scripting languages such as Bash Strong understanding of automated testing frameworks and methodologies Hands-on experience with Apache Airflow and log analysis Familiarity with data processing tools such as Apache Spark Experience working with cloud platforms and services, including: Monitoring and logging tools Storage and data services Compute and container services Experience with CI/CD pipelines and version control systems (e.g., GitLab) Knowledge of Infrastructure as Code (e.g., Terraform) Familiarity with Docker and containerised environments Data & Analytics Strong data analysis skills, including working with structured and semi-structured data Experience validating and querying data using tools such as Athena and notebooks Understanding of data modelling concepts, including dimensional models and slowly changing dimensions Ability to generate realistic test data for various scenarios Additional Knowledge Understanding of distributed data platforms and big data environments (e.g., EMR) Knowledge of encryption principles (client-side and server-side) Awareness of production system monitoring and incident analysis Soft Skills Strong analytical and problem-solving abilities Excellent communication skills, with the ability to present findings clearly Proactive approach to identifying and mitigating risks Ability to mentor and support less experienced team members Collaborative mindset with experience working in agile delivery environments Working Arrangements UK-based role with flexible location Occasional travel required for team collaboration sessions and workshops
May 24, 2026
Contractor
Test Engineer (Data & Automation) Overview We are seeking an experienced Test Engineer to support the delivery of high-quality data and application solutions. This role focuses on automation, data validation, and production analysis within a modern cloud-based environment. You will play a key role in ensuring system reliability, improving testing frameworks, and driving best practices across engineering teams.This is a collaborative position requiring strong technical expertise, analytical thinking, and the ability to mentor others while working across complex data platforms. Key Responsibilities Design, develop, and maintain automated test frameworks to improve testing efficiency and coverage Analyse and interpret test results, identifying risks, issues, and areas for improvement Produce clear reports on testing activities, outcomes, and associated risks Automate data validation and application testing processes across distributed systems Investigate production issues using data analysis to identify root causes Work with orchestration tools (e.g., Apache Airflow) to monitor workflows and troubleshoot failures Validate data using tools such as Jupyter Notebooks and Amazon Athena Analyse data across multiple formats to ensure integrity and correctness of new functionality Support CI/CD practices using Git-based workflows and pipeline automation Participate in infrastructure and deployment activities, including containerisation and Infrastructure as Code Collaborate with cross-functional teams to translate business requirements into testable solutions Mentor and guide team members on testing methodologies and best practices Key Skills & Experience Technical Skills Proficiency in Python, SQL, and at least one additional programming language (e.g., Java) Experience with scripting languages such as Bash Strong understanding of automated testing frameworks and methodologies Hands-on experience with Apache Airflow and log analysis Familiarity with data processing tools such as Apache Spark Experience working with cloud platforms and services, including: Monitoring and logging tools Storage and data services Compute and container services Experience with CI/CD pipelines and version control systems (e.g., GitLab) Knowledge of Infrastructure as Code (e.g., Terraform) Familiarity with Docker and containerised environments Data & Analytics Strong data analysis skills, including working with structured and semi-structured data Experience validating and querying data using tools such as Athena and notebooks Understanding of data modelling concepts, including dimensional models and slowly changing dimensions Ability to generate realistic test data for various scenarios Additional Knowledge Understanding of distributed data platforms and big data environments (e.g., EMR) Knowledge of encryption principles (client-side and server-side) Awareness of production system monitoring and incident analysis Soft Skills Strong analytical and problem-solving abilities Excellent communication skills, with the ability to present findings clearly Proactive approach to identifying and mitigating risks Ability to mentor and support less experienced team members Collaborative mindset with experience working in agile delivery environments Working Arrangements UK-based role with flexible location Occasional travel required for team collaboration sessions and workshops
Job Title: Research Associate - AI/Wearable Technology Specialist (PD-LIFE) School: School of Computing, Engineering and Intelligent Systems Campus: Derry Londonderry Salary: Research Grade 6/7 - £33,020 - £39,975 per annum, pro rata Closing Date: 02 June 2026 Reference Number: 042386 (Fixed term until 31 August 2029 / Part-time 0.5 FTE (17.5 hours per week - ABOUT US - We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer. - THE ROLE - The PD-LIFE project is an all-island emerging hub of excellence that unites researchers, clinicians, people with Parkinson's, and advocacy partners to transform the understanding and care of Parkinson's disease (PD) across Ireland. The postholder will be an integral part of a dynamic team, responsible for providing expertise in wearable technology and AI, and conducting high-quality research for the project stakeholders. The project is supported by the North South Research Programme through the Shared Island Fund and administered by the Higher Education Authority. - ABOUT YOU - 1. You will hold a PhD, completed or near completion, with a thesis submitted in the area of Computer Science or a closely related discipline. 2. You will hold a degree in Computer Science, Data Analytics or a closely related science-based discipline. 3. You will have practical experience with wearable technologies such as IMU sensors, as well as analysing and pre-processing resultant datasets. Please find our employee benefits on our website. Ulster University holds a Silver Athena SWAN award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.
May 22, 2026
Full time
Job Title: Research Associate - AI/Wearable Technology Specialist (PD-LIFE) School: School of Computing, Engineering and Intelligent Systems Campus: Derry Londonderry Salary: Research Grade 6/7 - £33,020 - £39,975 per annum, pro rata Closing Date: 02 June 2026 Reference Number: 042386 (Fixed term until 31 August 2029 / Part-time 0.5 FTE (17.5 hours per week - ABOUT US - We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer. - THE ROLE - The PD-LIFE project is an all-island emerging hub of excellence that unites researchers, clinicians, people with Parkinson's, and advocacy partners to transform the understanding and care of Parkinson's disease (PD) across Ireland. The postholder will be an integral part of a dynamic team, responsible for providing expertise in wearable technology and AI, and conducting high-quality research for the project stakeholders. The project is supported by the North South Research Programme through the Shared Island Fund and administered by the Higher Education Authority. - ABOUT YOU - 1. You will hold a PhD, completed or near completion, with a thesis submitted in the area of Computer Science or a closely related discipline. 2. You will hold a degree in Computer Science, Data Analytics or a closely related science-based discipline. 3. You will have practical experience with wearable technologies such as IMU sensors, as well as analysing and pre-processing resultant datasets. Please find our employee benefits on our website. Ulster University holds a Silver Athena SWAN award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.
Senior Data Engineer - AWS / ETL / Python Location: West midlands - mostly remote with some trips to office Salary: £65K - £80k An exciting opportunity has arisen for an experienced Senior Data Engineer to join a growing technology-focused organisation delivering scalable, enterprise-grade data solutions within a modern cloud environment. This role is ideal for someone who enjoys building robust data platforms from the ground up and working across large-scale ETL, cloud-native services, API integrations, and data governance initiatives. Key Responsibilities Design, build and maintain scalable ETL pipelines and data ingestion processes across a wide variety of structured and unstructured data sources Develop data extraction solutions using RESTful APIs and modern integration techniques Work extensively with AWS-native data and analytics services including Glue, Athena, DataBrew, Lake Formation, EMR, MSK and Kinesis Implement data quality, profiling and validation processes to ensure integrity, accuracy and completeness of datasets Contribute within an Agile delivery environment, supporting the design, development and deployment of Java and REST-based domain data services Support scalable, high-performance systems aligned to modern MACH architectural principles Ensure best practice around data governance, security, privacy and compliance standards Develop and optimise data processing solutions using Python and Java Deliver high-performing, scalable solutions capable of supporting growing business demand Key Skills & Experience 5+ years' experience within Data Engineering or related development roles Strong SQL development and optimisation experience Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles Experience tuning and optimising complex queries and large datasets Ability to translate business requirements into scalable technical data solutions Experience implementing and maintaining data governance and data standards Strong analytical and problem-solving capability with a passion for learning new technologies Excellent communication and stakeholder engagement skills, with the ability to present technical concepts clearly to both technical and non-technical audiences This is an excellent opportunity to join a forward-thinking team working on modern cloud-based data platforms and enterprise-scale transformation projects. Please apply asap if interested - GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
May 22, 2026
Full time
Senior Data Engineer - AWS / ETL / Python Location: West midlands - mostly remote with some trips to office Salary: £65K - £80k An exciting opportunity has arisen for an experienced Senior Data Engineer to join a growing technology-focused organisation delivering scalable, enterprise-grade data solutions within a modern cloud environment. This role is ideal for someone who enjoys building robust data platforms from the ground up and working across large-scale ETL, cloud-native services, API integrations, and data governance initiatives. Key Responsibilities Design, build and maintain scalable ETL pipelines and data ingestion processes across a wide variety of structured and unstructured data sources Develop data extraction solutions using RESTful APIs and modern integration techniques Work extensively with AWS-native data and analytics services including Glue, Athena, DataBrew, Lake Formation, EMR, MSK and Kinesis Implement data quality, profiling and validation processes to ensure integrity, accuracy and completeness of datasets Contribute within an Agile delivery environment, supporting the design, development and deployment of Java and REST-based domain data services Support scalable, high-performance systems aligned to modern MACH architectural principles Ensure best practice around data governance, security, privacy and compliance standards Develop and optimise data processing solutions using Python and Java Deliver high-performing, scalable solutions capable of supporting growing business demand Key Skills & Experience 5+ years' experience within Data Engineering or related development roles Strong SQL development and optimisation experience Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles Experience tuning and optimising complex queries and large datasets Ability to translate business requirements into scalable technical data solutions Experience implementing and maintaining data governance and data standards Strong analytical and problem-solving capability with a passion for learning new technologies Excellent communication and stakeholder engagement skills, with the ability to present technical concepts clearly to both technical and non-technical audiences This is an excellent opportunity to join a forward-thinking team working on modern cloud-based data platforms and enterprise-scale transformation projects. Please apply asap if interested - GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
Data Engineer Harrogate - 1 Day a week on-site £60,000 - £70,000 + Private Healthcare + Training Are you a Data Engineer looking to play a key role in building and evolving a modern cloud data platform that underpins reporting, insight, and future AI initiatives across a large, complex organisation?This is an opportunity to join a central Group Data Team delivering a cloud-based Lakehouse platform, working with batch, micro-batch and streaming data pipelines. You will be responsible for designing, building, and supporting scalable data solutions that enable trusted analytics and decision-making across the business.Working closely with data analysts, infrastructure teams, and software developers, you will translate architectural designs into robust, production-ready pipelines. You will contribute to data modelling, quality, and governance while helping to mature the data platform and its supporting processes.This role suits a technically strong Data Engineer who enjoys collaborating with stakeholders, producing high-quality documentation, and working across the full data lifecycle in a cloud-first environment. The Role: Design and implement ETL and ELT data pipelines using cloud-native tools Develop and maintain data models and curated data products in Snowflake Build and support batch, micro-batch, and streaming pipelines Collaborate with infrastructure and development teams to deliver optimised solutions Maintain metadata, data quality standards, and platform documentation The Person: Experience building data pipelines using tools such as AWS Glue, FiveTran, and DBT Strong SQL and Python skills with hands-on Snowflake experience Solid understanding of modern cloud data architectures and Lakehouse concepts Familiarity with AWS services including S3, Glue, Athena, RDS, and EMR Confident communicator able to work with both technical and non-technical stakeholders Reference Number: BBBH274221 Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
May 22, 2026
Full time
Data Engineer Harrogate - 1 Day a week on-site £60,000 - £70,000 + Private Healthcare + Training Are you a Data Engineer looking to play a key role in building and evolving a modern cloud data platform that underpins reporting, insight, and future AI initiatives across a large, complex organisation?This is an opportunity to join a central Group Data Team delivering a cloud-based Lakehouse platform, working with batch, micro-batch and streaming data pipelines. You will be responsible for designing, building, and supporting scalable data solutions that enable trusted analytics and decision-making across the business.Working closely with data analysts, infrastructure teams, and software developers, you will translate architectural designs into robust, production-ready pipelines. You will contribute to data modelling, quality, and governance while helping to mature the data platform and its supporting processes.This role suits a technically strong Data Engineer who enjoys collaborating with stakeholders, producing high-quality documentation, and working across the full data lifecycle in a cloud-first environment. The Role: Design and implement ETL and ELT data pipelines using cloud-native tools Develop and maintain data models and curated data products in Snowflake Build and support batch, micro-batch, and streaming pipelines Collaborate with infrastructure and development teams to deliver optimised solutions Maintain metadata, data quality standards, and platform documentation The Person: Experience building data pipelines using tools such as AWS Glue, FiveTran, and DBT Strong SQL and Python skills with hands-on Snowflake experience Solid understanding of modern cloud data architectures and Lakehouse concepts Familiarity with AWS services including S3, Glue, Athena, RDS, and EMR Confident communicator able to work with both technical and non-technical stakeholders Reference Number: BBBH274221 Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Senior Data Engineer - Databricks - AWS - London (Hybrid) - Up to £80,000 I'm working with a client that is growing fast within analytics and data company operating across the sports, media and entertainment sector. They're expanding their data engineering capability as demand continues to scale. With data at the core of how the business drives performance, commercial insight and strategic decision-making, this is an opportunity to join a company investing heavily in modern, cloud-native data architecture. This is an opportunity for a Senior Data Engineer who wants to lead on Databricks architecture, influence technical direction and mentor others, while remaining hands-on with complex, large-scale data systems. The Role Architect and evolve robust, scalable data infrastructure and workflows Lead technical design decisions and contribute to long-term platform strategy Drive operational excellence across performance, security, governance and cost optimisation Mentor engineers and raise engineering standards across the team Champion modern architectural patterns including event-driven, streaming and distributed systems Key Experience Strong expertise in distributed data architectures (lambda/kappa) Expert-level data modelling (star/snowflake schemas, SCD Types 1-3, fact optimisation) Deep understanding of medallion (Bronze/Silver/Gold) lakehouse and data mesh principles Proven experience defining data contracts, cataloguing standards, and observability practices Strong performance tuning and cost optimisation experience in cloud data warehouses Hands-on experience with Snowflake, dbt, S3, Athena Deep expertise across the AWS data engineering stack Comfortable working in Agile environments (Jira, Confluence) Leadership mindset with the ability to influence, mentor and set best practice What's on Offer Hybrid working (2 days per week in London) Join a scaling, well-funded business with strong technical ambition High-impact work on modern data platforms Opportunity to influence architecture, standards and team direction Apply today!
May 21, 2026
Full time
Senior Data Engineer - Databricks - AWS - London (Hybrid) - Up to £80,000 I'm working with a client that is growing fast within analytics and data company operating across the sports, media and entertainment sector. They're expanding their data engineering capability as demand continues to scale. With data at the core of how the business drives performance, commercial insight and strategic decision-making, this is an opportunity to join a company investing heavily in modern, cloud-native data architecture. This is an opportunity for a Senior Data Engineer who wants to lead on Databricks architecture, influence technical direction and mentor others, while remaining hands-on with complex, large-scale data systems. The Role Architect and evolve robust, scalable data infrastructure and workflows Lead technical design decisions and contribute to long-term platform strategy Drive operational excellence across performance, security, governance and cost optimisation Mentor engineers and raise engineering standards across the team Champion modern architectural patterns including event-driven, streaming and distributed systems Key Experience Strong expertise in distributed data architectures (lambda/kappa) Expert-level data modelling (star/snowflake schemas, SCD Types 1-3, fact optimisation) Deep understanding of medallion (Bronze/Silver/Gold) lakehouse and data mesh principles Proven experience defining data contracts, cataloguing standards, and observability practices Strong performance tuning and cost optimisation experience in cloud data warehouses Hands-on experience with Snowflake, dbt, S3, Athena Deep expertise across the AWS data engineering stack Comfortable working in Agile environments (Jira, Confluence) Leadership mindset with the ability to influence, mentor and set best practice What's on Offer Hybrid working (2 days per week in London) Join a scaling, well-funded business with strong technical ambition High-impact work on modern data platforms Opportunity to influence architecture, standards and team direction Apply today!
We're looking for a hands-on DevOps / Platform Engineer to support an AWS-based platform, focusing on infrastructure as code, CI/CD, and platform reliability. You must have SC Clearance and Active NPPV3 to be considered for this role. Essential Skills Strong Terraform (IaC) experience Solid AWS knowledge (EC2, S3, Lambda, IAM, VPC, Redshift) Git / GitLab + CI/CD pipelines (GitLab CI) Experience with DevOps practices & automation Scripting: Python, Bash, Ansible Docker & Kubernetes (working knowledge) Strong understanding of cloud security best practices 5+ years DevOps / Platform Engineering experience Desirable AWS data services (Glue, Athena, Lake Formation, QuickSight) GitLab / Artifactory administration Config mgmt tools (Puppet, Salt, Ansible) Monitoring: Grafana, Prometheus Entra ID / Active Directory Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
May 21, 2026
Contractor
We're looking for a hands-on DevOps / Platform Engineer to support an AWS-based platform, focusing on infrastructure as code, CI/CD, and platform reliability. You must have SC Clearance and Active NPPV3 to be considered for this role. Essential Skills Strong Terraform (IaC) experience Solid AWS knowledge (EC2, S3, Lambda, IAM, VPC, Redshift) Git / GitLab + CI/CD pipelines (GitLab CI) Experience with DevOps practices & automation Scripting: Python, Bash, Ansible Docker & Kubernetes (working knowledge) Strong understanding of cloud security best practices 5+ years DevOps / Platform Engineering experience Desirable AWS data services (Glue, Athena, Lake Formation, QuickSight) GitLab / Artifactory administration Config mgmt tools (Puppet, Salt, Ansible) Monitoring: Grafana, Prometheus Entra ID / Active Directory Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Job Title: Research Associate - AI/Wearable Technology Specialist (PD-LIFE) School: School of Computing, Engineering and Intelligent Systems Campus: Derry Londonderry Salary: Research Grade 6/7 - £33,020 - £39,975 per annum, pro rata Closing Date: 02 June 2026 Reference Number: 042386 (Fixed term until 31 August 2029 / Part-time 0.5 FTE (17.5 hours per week - ABOUT US - We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer. - THE ROLE - The PD-LIFE project is an all-island emerging hub of excellence that unites researchers, clinicians, people with Parkinson's, and advocacy partners to transform the understanding and care of Parkinson's disease (PD) across Ireland. The postholder will be an integral part of a dynamic team, responsible for providing expertise in wearable technology and AI, and conducting high-quality research for the project stakeholders. The project is supported by the North South Research Programme through the Shared Island Fund and administered by the Higher Education Authority. - ABOUT YOU - 1. You will hold a PhD, completed or near completion, with a thesis submitted in the area of Computer Science or a closely related discipline. 2. You will hold a degree in Computer Science, Data Analytics or a closely related science-based discipline. 3. You will have practical experience with wearable technologies such as IMU sensors, as well as analysing and pre-processing resultant datasets. Please find our employee benefits on our website. Ulster University holds a Silver Athena SWAN award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.
May 20, 2026
Full time
Job Title: Research Associate - AI/Wearable Technology Specialist (PD-LIFE) School: School of Computing, Engineering and Intelligent Systems Campus: Derry Londonderry Salary: Research Grade 6/7 - £33,020 - £39,975 per annum, pro rata Closing Date: 02 June 2026 Reference Number: 042386 (Fixed term until 31 August 2029 / Part-time 0.5 FTE (17.5 hours per week - ABOUT US - We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer. - THE ROLE - The PD-LIFE project is an all-island emerging hub of excellence that unites researchers, clinicians, people with Parkinson's, and advocacy partners to transform the understanding and care of Parkinson's disease (PD) across Ireland. The postholder will be an integral part of a dynamic team, responsible for providing expertise in wearable technology and AI, and conducting high-quality research for the project stakeholders. The project is supported by the North South Research Programme through the Shared Island Fund and administered by the Higher Education Authority. - ABOUT YOU - 1. You will hold a PhD, completed or near completion, with a thesis submitted in the area of Computer Science or a closely related discipline. 2. You will hold a degree in Computer Science, Data Analytics or a closely related science-based discipline. 3. You will have practical experience with wearable technologies such as IMU sensors, as well as analysing and pre-processing resultant datasets. Please find our employee benefits on our website. Ulster University holds a Silver Athena SWAN award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.
The CompanyLocation: Northeast or LondonType: Permanent HybridNigel Wright Tech are delighted to be partnering with a large B2C service organisation in their search for a Data Architect. You will be responsible for defining and maintaining the overall data architecture strategy that enables the company's BI and self-serve analytics capabilities. The role will establish the technical vision, standards and frameworks that enable scalable, efficient and secure data solutions across the organisation. The RoleKey responsibilities: Conduct comprehensive assessment of existing architectures across existing data infrastructure Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and the BI product strategy Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions Define and document standard business entities, metrics and KPIs to ensure consistency across reporting Work with Group BI and Data Director to define strategy and frameworks Facilitate architecture discussions and workshops with technical and non-technical stakeholders The RequirementsThis is an exciting role, whereby you will have strategic input and the opportunity to work on major greenfield projects across the organisations data estate. Key requirements include: Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality tools and ensuring compliance with security and regulatory requirements Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes
May 19, 2026
Full time
The CompanyLocation: Northeast or LondonType: Permanent HybridNigel Wright Tech are delighted to be partnering with a large B2C service organisation in their search for a Data Architect. You will be responsible for defining and maintaining the overall data architecture strategy that enables the company's BI and self-serve analytics capabilities. The role will establish the technical vision, standards and frameworks that enable scalable, efficient and secure data solutions across the organisation. The RoleKey responsibilities: Conduct comprehensive assessment of existing architectures across existing data infrastructure Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and the BI product strategy Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions Define and document standard business entities, metrics and KPIs to ensure consistency across reporting Work with Group BI and Data Director to define strategy and frameworks Facilitate architecture discussions and workshops with technical and non-technical stakeholders The RequirementsThis is an exciting role, whereby you will have strategic input and the opportunity to work on major greenfield projects across the organisations data estate. Key requirements include: Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality tools and ensuring compliance with security and regulatory requirements Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes
Location Docklands Campus Salary £39,824 to £45,281 per annum inclusive of London Weighting Post Type Full Time Post Type Permanent Closing Date Sunday 31 May 2026 Interview Date Tuesday 09 June 2026 Reference 032S2026 University of East London We're the University of East London (UEL), founded in 1898 and proud to change lives through education. Our goal is to advance industry 5.0, careers-first education and provide a clear path to the jobs and opportunities of the future. We're committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a sustainable, inclusive and green future. But we can't achieve this alone. We need forward-thinking, innovative and curious individuals to join our community and help shape what comes next. At UEL, you'll work with colleagues who share a passion for creativity, technology and positive change, in an inclusive and welcoming environment that is constantly evolving. About the School / Service The Technical Services team supporting the Schools of Arts & Creative Industries (ACI) and Architecture, Computing & Engineering (ACE) is a crucial part of the University of East London's infrastructure. Working as a unified and collaborative technical team, we support students and staff across both Schools by providing specialist expertise, facilities and resources that enable high-quality learning, teaching, research and public-facing activity. Our technicians work collectively across a wide range of disciplines and facilities, supporting practical teaching, experimentation, exhibitions and research activity. The team operates with shared goals, common standards and a strong culture of collaboration, ensuring consistency, resilience and innovation across ACI and ACE. This is an exciting time to join Technical Services at UEL as we continue to invest in our people, spaces and technologies. We are committed to professionalising technical roles, encouraging cross-team working and building an inclusive, forward-looking technical community that is closely aligned with curriculum development and industry practice. About the Job We are seeking an experienced and motivated Technical Group Leader to provide leadership across our Technology technical provision. In this role, you will lead a team of skilled technicians supporting students, academic staff and researchers across ACI and ACE. You will oversee specialist computer labs, digital infrastructure and immersive technology environments, ensuring safe, effective and innovative technical support that enhances learning, teaching and research. This is a hands-on leadership role for someone passionate about technology, digital innovation and enabling high-quality technical learning environments. Key responsibilities include: Leading, supervising and developing a multidisciplinary technical team across Technology provision Managing specialist computer labs and digital environments including AI, data science, cyber security and creative computing Supporting curriculum delivery, research and exhibitions through expert technical advice, demonstrations and workshops Ensuring safe, compliant and well-maintained technical environments, embedding health and safety best practice Working closely with academic colleagues, Central IT and professional services to align technical provision with teaching and research needs Contributing to the continuous development of technical services, systems and future investment planning Supporting the development and operation of high-performance computing, immersive technologies and specialist digital systems About You You will be a confident and collaborative technical leader with experience in computing, digital technologies or related technical disciplines. You may have deep expertise in one area, combined with the curiosity and willingness to work across a broad and evolving technology portfolio. You will bring: Experience leading or supervising a technical team within higher education, industry or a technical environment Strong technical expertise in one or more relevant areas (e.g. computing, AI/ML, cyber security, digital systems, immersive technologies or creative computing) A genuine passion for supporting students and staff in practical, technology-enabled learning environments Excellent communication and organisational skills, with the ability to work effectively across disciplines and departments Experience working with or alongside IT services to deliver and maintain technical infrastructure (desirable) A proactive approach to digital innovation, continuous improvement and future-focused technical development A strong commitment to Equality, Diversity and Inclusion and to working in line with UEL's values Benefits Package At UEL, we believe that a great role is about more than just a salary. It's about the complete package, including our outstanding work environment and inclusive culture. We offer a genuinely competitive salary, dependent on experience (DOE), alongside a comprehensive benefits package. You can explore our full benefits package here: Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we're committed to closing the" diversity pay gap". We're proud of the progress we've made and honest that there's more to do. We're determined to keep moving forward so everyone at UEL can thrive. We're a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process. So, if you'd like to take your career to the next level with us here at the University of East London and are inspired by our environment and commit to success, we want you to apply today! Please note that this advert may close earlier than the stated deadline if we receive a high volume of applications. Early applications are encouraged. Further Details Job Description & Person Specification Email details to a friend To contact the recruitment team please phone x 4600 or e-mail CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.
May 19, 2026
Full time
Location Docklands Campus Salary £39,824 to £45,281 per annum inclusive of London Weighting Post Type Full Time Post Type Permanent Closing Date Sunday 31 May 2026 Interview Date Tuesday 09 June 2026 Reference 032S2026 University of East London We're the University of East London (UEL), founded in 1898 and proud to change lives through education. Our goal is to advance industry 5.0, careers-first education and provide a clear path to the jobs and opportunities of the future. We're committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a sustainable, inclusive and green future. But we can't achieve this alone. We need forward-thinking, innovative and curious individuals to join our community and help shape what comes next. At UEL, you'll work with colleagues who share a passion for creativity, technology and positive change, in an inclusive and welcoming environment that is constantly evolving. About the School / Service The Technical Services team supporting the Schools of Arts & Creative Industries (ACI) and Architecture, Computing & Engineering (ACE) is a crucial part of the University of East London's infrastructure. Working as a unified and collaborative technical team, we support students and staff across both Schools by providing specialist expertise, facilities and resources that enable high-quality learning, teaching, research and public-facing activity. Our technicians work collectively across a wide range of disciplines and facilities, supporting practical teaching, experimentation, exhibitions and research activity. The team operates with shared goals, common standards and a strong culture of collaboration, ensuring consistency, resilience and innovation across ACI and ACE. This is an exciting time to join Technical Services at UEL as we continue to invest in our people, spaces and technologies. We are committed to professionalising technical roles, encouraging cross-team working and building an inclusive, forward-looking technical community that is closely aligned with curriculum development and industry practice. About the Job We are seeking an experienced and motivated Technical Group Leader to provide leadership across our Technology technical provision. In this role, you will lead a team of skilled technicians supporting students, academic staff and researchers across ACI and ACE. You will oversee specialist computer labs, digital infrastructure and immersive technology environments, ensuring safe, effective and innovative technical support that enhances learning, teaching and research. This is a hands-on leadership role for someone passionate about technology, digital innovation and enabling high-quality technical learning environments. Key responsibilities include: Leading, supervising and developing a multidisciplinary technical team across Technology provision Managing specialist computer labs and digital environments including AI, data science, cyber security and creative computing Supporting curriculum delivery, research and exhibitions through expert technical advice, demonstrations and workshops Ensuring safe, compliant and well-maintained technical environments, embedding health and safety best practice Working closely with academic colleagues, Central IT and professional services to align technical provision with teaching and research needs Contributing to the continuous development of technical services, systems and future investment planning Supporting the development and operation of high-performance computing, immersive technologies and specialist digital systems About You You will be a confident and collaborative technical leader with experience in computing, digital technologies or related technical disciplines. You may have deep expertise in one area, combined with the curiosity and willingness to work across a broad and evolving technology portfolio. You will bring: Experience leading or supervising a technical team within higher education, industry or a technical environment Strong technical expertise in one or more relevant areas (e.g. computing, AI/ML, cyber security, digital systems, immersive technologies or creative computing) A genuine passion for supporting students and staff in practical, technology-enabled learning environments Excellent communication and organisational skills, with the ability to work effectively across disciplines and departments Experience working with or alongside IT services to deliver and maintain technical infrastructure (desirable) A proactive approach to digital innovation, continuous improvement and future-focused technical development A strong commitment to Equality, Diversity and Inclusion and to working in line with UEL's values Benefits Package At UEL, we believe that a great role is about more than just a salary. It's about the complete package, including our outstanding work environment and inclusive culture. We offer a genuinely competitive salary, dependent on experience (DOE), alongside a comprehensive benefits package. You can explore our full benefits package here: Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we're committed to closing the" diversity pay gap". We're proud of the progress we've made and honest that there's more to do. We're determined to keep moving forward so everyone at UEL can thrive. We're a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process. So, if you'd like to take your career to the next level with us here at the University of East London and are inspired by our environment and commit to success, we want you to apply today! Please note that this advert may close earlier than the stated deadline if we receive a high volume of applications. Early applications are encouraged. Further Details Job Description & Person Specification Email details to a friend To contact the recruitment team please phone x 4600 or e-mail CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.
Applications are welcomed from candidates in Europe and other overseas countries. Financial support for visa application fees is available, subject to eligibility and organisational policy. There are Post-doc (Research Fellow) positions available in the field of integrative structural biology, based in the group of Prof. Teresa Carlomagno at the University of Birmingham. The research group studies the functional mechanisms of proteins, including intrinsically disordered proteins, nucleic acids and their complexes by integrative structural biology. The laboratory uses and develops high-field NMR spectroscopy methods as major structural biology tool, in combination with several other techniques. The Research Fellow will work in one of the following fields: RNA metabolism, regulation of gene expression, DNA repair, signalling. The post holder will use NMR spectroscopy, X-ray crystallography and/or Electron Microscopy, as well as Mass Spectrometry and Small Angle Scattering, to study the structure of protein-protein or protein-nucleic acids complexes and discover the mechanisms of their function and regulation. There are opportunities to develop new approaches to integrative structural biology with the combination of the techniques mentioned above. In addition, the Research Fellow will use molecular biology, biophysical and biochemical techniques to characterize biomolecular complexes and their activity in vitro and cellular biology approaches to verify the functional mechanisms in vivo. Role Summary Operate within area of specialism Analyse and interpret research findings and results Work within specified research grants and projects and contribute to writing bids Contribute to public understanding of the discipline or similar. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof T Carlomagno) Acquire, analyse and interpret data - structural biology, biochemical and biophysical data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to writing bids for research funding Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/Institute research-related activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation and literature reviews Deal with problems that may affect the achievement of research objectives and deadlines Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Person Specification PhD (or near to completion) in Biophysics/ Biochemistry/ Chemical Biology/ Structural Biology or related areas or equivalent qualifications Proficiency in either biomolecular NMR spectroscopy or single-particle electron microscopy, both in data acquisition and analysis Practical experience in a biochemical laboratory and/or handling nucleic acids High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly Willingness to work in a competitive, international environment Informal enquiries to Teresa Carlomagno, email: Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview. We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website.
May 13, 2026
Full time
Applications are welcomed from candidates in Europe and other overseas countries. Financial support for visa application fees is available, subject to eligibility and organisational policy. There are Post-doc (Research Fellow) positions available in the field of integrative structural biology, based in the group of Prof. Teresa Carlomagno at the University of Birmingham. The research group studies the functional mechanisms of proteins, including intrinsically disordered proteins, nucleic acids and their complexes by integrative structural biology. The laboratory uses and develops high-field NMR spectroscopy methods as major structural biology tool, in combination with several other techniques. The Research Fellow will work in one of the following fields: RNA metabolism, regulation of gene expression, DNA repair, signalling. The post holder will use NMR spectroscopy, X-ray crystallography and/or Electron Microscopy, as well as Mass Spectrometry and Small Angle Scattering, to study the structure of protein-protein or protein-nucleic acids complexes and discover the mechanisms of their function and regulation. There are opportunities to develop new approaches to integrative structural biology with the combination of the techniques mentioned above. In addition, the Research Fellow will use molecular biology, biophysical and biochemical techniques to characterize biomolecular complexes and their activity in vitro and cellular biology approaches to verify the functional mechanisms in vivo. Role Summary Operate within area of specialism Analyse and interpret research findings and results Work within specified research grants and projects and contribute to writing bids Contribute to public understanding of the discipline or similar. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof T Carlomagno) Acquire, analyse and interpret data - structural biology, biochemical and biophysical data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to writing bids for research funding Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/Institute research-related activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation and literature reviews Deal with problems that may affect the achievement of research objectives and deadlines Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Person Specification PhD (or near to completion) in Biophysics/ Biochemistry/ Chemical Biology/ Structural Biology or related areas or equivalent qualifications Proficiency in either biomolecular NMR spectroscopy or single-particle electron microscopy, both in data acquisition and analysis Practical experience in a biochemical laboratory and/or handling nucleic acids High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly Willingness to work in a competitive, international environment Informal enquiries to Teresa Carlomagno, email: Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview. We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website.
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Data Engineer up to £90,000 + Benefits Manchester (Hybrid) This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance. THE ROLE Key responsibilities include: Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources Working on greenfield projects while scaling existing data infrastructure to billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
May 13, 2026
Full time
Data Engineer up to £90,000 + Benefits Manchester (Hybrid) This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance. THE ROLE Key responsibilities include: Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources Working on greenfield projects while scaling existing data infrastructure to billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers. THE COMPANY They are a high-growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real-time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data ingestion pipelines that feed into their cloud data warehouse. Build and maintain pipelines that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify and solve problems independently. BENEFITS The successful Data Engineer will receive the following benefits: Salary between £70,000 - £90,000 - depending on experience. Competitive benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
May 12, 2026
Full time
Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers. THE COMPANY They are a high-growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real-time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data ingestion pipelines that feed into their cloud data warehouse. Build and maintain pipelines that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify and solve problems independently. BENEFITS The successful Data Engineer will receive the following benefits: Salary between £70,000 - £90,000 - depending on experience. Competitive benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
SC Cleared Data Engineer (AWS) - Contract Opportunity - 475- 490 per day (Inside IR35) - Remote (UK) with minimal travel - once every 2-4 weeks in London - Contract until 30th August We're looking for an SC Cleared Data Engineer to join a high-impact project within a secure environment. This role is ideal for someone who enjoys working with modern AWS data tools and can confidently deliver data pipelines, analysis, and insights with minimal oversight. What You'll Be Doing Building and maintaining data pipelines on AWS Using Amazon Athena to query and analyse large datasets Writing efficient, scalable SQL for data transformation and analysis Leveraging Python for data processing and automation Carrying out data analysis to support business insights and decision-making Working closely with stakeholders to turn requirements into practical data solutions Ensuring data quality, performance, and reliability across workflows What We're Looking For - Active SC Clearance (essential) - Strong experience with AWS, particularly Athena - Advanced SQL skills - Hands-on Python experience - Solid background in data analysis - Comfortable working independently in a fast-paced environment Nice to Have Experience in secure or regulated environments Familiarity with data governance best practices
May 08, 2026
Contractor
SC Cleared Data Engineer (AWS) - Contract Opportunity - 475- 490 per day (Inside IR35) - Remote (UK) with minimal travel - once every 2-4 weeks in London - Contract until 30th August We're looking for an SC Cleared Data Engineer to join a high-impact project within a secure environment. This role is ideal for someone who enjoys working with modern AWS data tools and can confidently deliver data pipelines, analysis, and insights with minimal oversight. What You'll Be Doing Building and maintaining data pipelines on AWS Using Amazon Athena to query and analyse large datasets Writing efficient, scalable SQL for data transformation and analysis Leveraging Python for data processing and automation Carrying out data analysis to support business insights and decision-making Working closely with stakeholders to turn requirements into practical data solutions Ensuring data quality, performance, and reliability across workflows What We're Looking For - Active SC Clearance (essential) - Strong experience with AWS, particularly Athena - Advanced SQL skills - Hands-on Python experience - Solid background in data analysis - Comfortable working independently in a fast-paced environment Nice to Have Experience in secure or regulated environments Familiarity with data governance best practices
