Youngs Employment Services
Data Engineer Manager Hybrid - London with 2/3 days WFH Circ £85,000 - £95,000 + Attractive Bonus & Benefits This newly created Data Engineer Managers position is an excellent opportunity for someone that enjoys being hands on technically as well as managing a small team of Data Engineers. It would suit those with official management experience, or potentially a Lead or Senior Engineer used to leading teams and now looking to take on more managerial responsibility. Our client is a well-established and rapidly growing global business with its headquarters based in London. The Data Engineer Manager will play a pivotal role at the heart of our client's data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up and meet the demand to deliver data driven insights and strategies right across the business globally. There'll be a hands-on element to the role as you'll be troubleshooting, doing code reviews, steering the team through deployments and acting as the escalation point for data engineering. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Our client can offer an excellent career development opportunity and a work environment that's vibrant, friendly, and collaborative. Key Responsibilities include; Define and take ownership of the roadmap for the ongoing development and enhancement of the Data Platform. Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout all processes. Participate in recruiting, mentoring, and developing a high-performing data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives. Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse). Collaborate with data analysts, Analytics Engineers, and various stakeholders to fulfil business requirements. Key Experience, Skills and Knowledge: Experience leading data or platform teams in a production environment as a Senior Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala or Java. Experience operating in a cloud-native environment such as Azure, AWS, GCP etc ( Fabric experience would be beneficial but is not essential). Excellent stakeholder management and communication skills. A strategic mindset, with a practical approach to delivery and prioritisation. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines. Experience building, defining, and owning data models, data lakes, and data warehouses. Exposure to data science concepts and techniques is highly desirable. Strong problem-solving skills and attention to detail. Salary is dependent on experience and expected to be in the region of £85,000 - £95,000 + an attractive bonus scheme and benefits package. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business.
Data Engineer Manager Hybrid - London with 2/3 days WFH Circ £85,000 - £95,000 + Attractive Bonus & Benefits This newly created Data Engineer Managers position is an excellent opportunity for someone that enjoys being hands on technically as well as managing a small team of Data Engineers. It would suit those with official management experience, or potentially a Lead or Senior Engineer used to leading teams and now looking to take on more managerial responsibility. Our client is a well-established and rapidly growing global business with its headquarters based in London. The Data Engineer Manager will play a pivotal role at the heart of our client's data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up and meet the demand to deliver data driven insights and strategies right across the business globally. There'll be a hands-on element to the role as you'll be troubleshooting, doing code reviews, steering the team through deployments and acting as the escalation point for data engineering. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Our client can offer an excellent career development opportunity and a work environment that's vibrant, friendly, and collaborative. Key Responsibilities include; Define and take ownership of the roadmap for the ongoing development and enhancement of the Data Platform. Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout all processes. Participate in recruiting, mentoring, and developing a high-performing data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives. Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse). Collaborate with data analysts, Analytics Engineers, and various stakeholders to fulfil business requirements. Key Experience, Skills and Knowledge: Experience leading data or platform teams in a production environment as a Senior Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala or Java. Experience operating in a cloud-native environment such as Azure, AWS, GCP etc ( Fabric experience would be beneficial but is not essential). Excellent stakeholder management and communication skills. A strategic mindset, with a practical approach to delivery and prioritisation. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines. Experience building, defining, and owning data models, data lakes, and data warehouses. Exposure to data science concepts and techniques is highly desirable. Strong problem-solving skills and attention to detail. Salary is dependent on experience and expected to be in the region of £85,000 - £95,000 + an attractive bonus scheme and benefits package. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business.
Youngs Employment Services
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.