Young's Employment Services Ltd

Data Analyst - London WFH Circ £40,000 - £60,000 Excellent Bens including Bonus A new Data Analyst position is available to join a fast growing global ecommerce business. Our client is rapidly expanding and scaling up their ability to enable data based decision makers across the business. The Data Analyst will work primarily with finance, product and planning teams utilising the likes of Power BI, SQL, Python, PySpark and SAP amongst other tools. This is an exciting opportunity best suited to those that thrive in busy business facing environments This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Key Responsibilities include; To enable data based decision makers in the business Data and reporting operational support Answer and triage tickets as they come in Perform Root Cause Analysis across multiple platforms, data sources and reports Work in Agile Methodology with broader D&A team Hold regular training and learning sessions with the business to enable Self-Serve Analytics Help build out CoE for Self-Serve capability Educate and inspire the business in the art of the possible with BI, reporting and dashboards Key Experience, Skills and Knowledge: At least 3 years as a Data Analyst or similar data related experience Experience with SQL, PySpark and Python Expert user in Power BI Expert user in Excel Demonstratable experience in building out analysis and reports Highly organised but flexible with excellent communication skills Able to work to fixed deadlines and SLAs Logically minded, likes to use data and evidence to support findings Excellent trouble shooting skills Able to work as part of a collaborative team as well as independently Our client can offer excellent career development opportunities and a vibrant work environment. Salary will be dependent on experience and likely to be in the region of £40,000 - £60,000 an attractive bonus scheme. Our client can only consider candidates with the right to live and work in the UK that do not require sponsorship now or in the future. Youngs's Employment Services Ltd operates as both an Employment Agency and Employment Business.

Senior Data Engineer / Technical Lead Hybrid - London with 2/3 days WFH Circ £85,000 - £95,000 Bonus An excellent opportunity is available for a Senior Data Engineer / Technical Lead looking to move into a Management / Leadership position. This is an exciting newly created hands-on Data Engineer Managers post that will be responsible for leading and mentoring a small team of Data Engineers whilst overseeing data platform development and optimisation. Our client is a well-established and rapidly growing global ecommerce business with its headquarters based in London. They've been expanding at pace and have ambitious plans to take the business even further. Having implemented a new MS Fabric based Data platform, the need is now to scale up to meet the demand to deliver data driven insights and strategies right across the business globally. The role will require someone that's happy to be hands-on (potentially up to 50% of the time) as you'll be troubleshooting, doing code reviews, steering the team through deployments, acting as an escalation point for technical issues etc. 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 Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). 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. Experience with MS Fabric would be beneficial but it's not essential. 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 whilst working in a modern and vibrant environment. Salary will be dependent on experience and likely to be in the region of £85,000 - £95,000 an attractive bonus scheme. 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 Bonus This newly created Data Engineer Managers position is an excellent opportunity for a hands on Senior Data Engineer / Technical Lead / Engineering Team Lead etc looking to move into a Management position. The postholder will lead and mentor a team of 3 Data Engineers whilst overseeing data platform development and optimisation. Our client is a well-established and rapidly growing global ecommerce business with its headquarters based in London. They've been expanding at pace and have ambitious plans to take the business even further. The Data Engineer Manager will play a pivotal role at the heart of our clients data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up to meet the demand to deliver data driven insights and strategies right across the business globally. The role will require someone that's happy to be hands on as you'll be troubleshooting, doing code reviews, steering the team through deployments and an escalation point for technical issues etc. Previous experience with MS Fabric would be highly beneficial but is not essential. 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 Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). 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. 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 whilst working in a modern and vibrant environment. Salary will be dependent on experience and in the region of £85,000 - £95,000 an attractive bonus scheme. 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

This newly created Data Engineer Managers position is an excellent opportunity for a hands-on Senior Data Engineer / Technical Lead / Engineering Team Lead etc looking to move into a management position. The postholder will lead and mentor a team of 3 Data Engineers whilst overseeing data platform development and optimisation. Our client is a well-established and rapidly growing global ecommerce 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 Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). 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. MS Fabric experience is beneficial but not essential. 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.