6 of 6 Remote Spark SQL Jobs in England

engineering, ideally within a media, entertainment, or consumer-facing industry Experience managing or mentoring a small team, with demonstrable people leadership and project coordination skills Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Knowledge of Microsoft Fabric and Azure Data Factory would be useful but not essential Power BI More ❯

engineering, ideally within a media, entertainment, or consumer-facing industry Experience managing or mentoring a small team, with demonstrable people leadership and project coordination skills Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Knowledge of Microsoft Fabric and Azure Data Factory would be useful but not essential Power BI More ❯

team, with demonstrable people leadership and project coordination skills Deep hands-on knowledge of Microsoft Fabric, Azure Data Factory, Power BI, and related Azure tools Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Solid understanding of ETL/ELT workflows, data modelling, and structuring datasets for analytics Experience working More ❯

engineering to embed analytic logic into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, or data R&D. Advanced expertise in Python, Spark SQL, and distributed data environments. Strong background in statistical inference, anomaly detection, and interaction modeling. Proven track record in developing quality control or validation processes for complex analytics. Experience working with multi-source data and deriving insights from structured or semi-structured inputs. Excellent mentorship, communication, and analytical design leadership skills. Compensation and Benefits: Competitive salary More ❯

the heart of the business. The role This role sits within the Group Enterprise Systems (GES) Technology team. The ideal candidate is an experienced Microsoft data warehouse developer (SQL Server, SSIS, SSAS) capable of working independently and within a team to deliver enterprise-class data warehouse solutions and analytics platforms. The role involves working on Actuarial Reserving systems … models. Build and maintain automated pipelines supporting BI and analytics use cases, ingesting, transforming, and loading data from multiple sources, structured and unstructured. Utilise Enterprise-grade technology, primarily SQL Server 2019 and potentially Azure technologies, and explore other solutions where appropriate. Develop patterns, best practices, and standardized data pipelines to ensure consistency across the organisation. Essential Core Technical … Experience 5 to 10+ years of experience in SQL Server data warehouse or data provisioning architectures. Advanced SQL query writing and stored procedure experience. Experience developing ETL solutions in SQL Server, including SSIS & T-SQL. Experience with Microsoft BI technologies (SQL Server Management Studio, SSIS, SSAS, SSRS). Knowledge of data/ More ❯

You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/ELT solutions … services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub Actions, Terraform). Familiar with More ❯