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:
Data Engineer - Contract Rate: 500 per day (inside IR35) Location: Remote with 1 day per month in Leeds Duration: Until March 2027 with the possibility of extension Availability: 2 weeks' notice or less required Clearance: BPSS check required The Role We are working with a leading healthtech consultancy that is one of the most established names in UK digital health, and employs over 300 staff. The organisation has delivered some of the largest healthtech programmes in the world, with deep roots in NHS transformation alongside work spanning government and public sector clients internationally. This role sits within one of the NHS's most critical national digital programmes -the infrastructure that connects GP practices, hospital trusts, NHS 111, and pharmacies into a joined-up system, underpinning services including the Electronic Prescription Service, GP Connect, and the national roll-out of Electronic Patient Records. As the Data Engineer, you will play a hands-on role in designing, building, and maintaining the data pipelines and platform infrastructure that underpin these services. You will work closely with clinical and technical stakeholders to ensure data flows reliably, securely, and at the quality standards demanded by national healthcare programmes. Skills and Experience Required: Prior experience working within NHS England, UK Health Security Agency, Department of Health and Social Care, or another central government data environment (Essential) Solid experience with Python, PySpark, Power BI, and AWS Strong communication skills - able to engage confidently with both technical peers and non-technical clinical or operational stakeholders Available on 2 week's notice or less Desireable: Experience with Terraform, Fabric, AWS tools such as Firehose, Glue, Lambda, Step Functions, DynamoDB, Athena and VPC as well as Azure ADLS, Vnet and ADFAzure would be highly desirable. Only UK based individuals with the necessary right to work will be considered To apply, email Philip Boltt at
May 29, 2026
Contractor
Data Engineer - Contract Rate: 500 per day (inside IR35) Location: Remote with 1 day per month in Leeds Duration: Until March 2027 with the possibility of extension Availability: 2 weeks' notice or less required Clearance: BPSS check required The Role We are working with a leading healthtech consultancy that is one of the most established names in UK digital health, and employs over 300 staff. The organisation has delivered some of the largest healthtech programmes in the world, with deep roots in NHS transformation alongside work spanning government and public sector clients internationally. This role sits within one of the NHS's most critical national digital programmes -the infrastructure that connects GP practices, hospital trusts, NHS 111, and pharmacies into a joined-up system, underpinning services including the Electronic Prescription Service, GP Connect, and the national roll-out of Electronic Patient Records. As the Data Engineer, you will play a hands-on role in designing, building, and maintaining the data pipelines and platform infrastructure that underpin these services. You will work closely with clinical and technical stakeholders to ensure data flows reliably, securely, and at the quality standards demanded by national healthcare programmes. Skills and Experience Required: Prior experience working within NHS England, UK Health Security Agency, Department of Health and Social Care, or another central government data environment (Essential) Solid experience with Python, PySpark, Power BI, and AWS Strong communication skills - able to engage confidently with both technical peers and non-technical clinical or operational stakeholders Available on 2 week's notice or less Desireable: Experience with Terraform, Fabric, AWS tools such as Firehose, Glue, Lambda, Step Functions, DynamoDB, Athena and VPC as well as Azure ADLS, Vnet and ADFAzure would be highly desirable. Only UK based individuals with the necessary right to work will be considered To apply, email Philip Boltt at
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 29, 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: BBBH(phone number removed) 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 29, 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: BBBH(phone number removed) 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.
Opus Recruitment Solutions
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 29, 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
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
Data Architect Competitive Salary Central London - Hybrid, 3 days per week in the office 35-hour Working Week - Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. Data is central to that agenda, and this role sits at the heart of it. This is a brand-new role within the business, sitting within the central IT function and reporting into the BI Product Manager. As Data Architect, you will be responsible for defining and maintaining the overall data architecture strategy that underpins enterprise-wide BI and self-service analytics capabilities. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation. Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies. We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques and strong SQL skills Experience with cloud data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.
May 23, 2026
Full time
Data Architect Competitive Salary Central London - Hybrid, 3 days per week in the office 35-hour Working Week - Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. Data is central to that agenda, and this role sits at the heart of it. This is a brand-new role within the business, sitting within the central IT function and reporting into the BI Product Manager. As Data Architect, you will be responsible for defining and maintaining the overall data architecture strategy that underpins enterprise-wide BI and self-service analytics capabilities. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation. Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies. We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques and strong SQL skills Experience with cloud data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.
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
