12 of 12 Spark SQL Jobs in the UK

considering: We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines … support code reviews, design reviews, and engineering best practices. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. Experience with ...

considering: We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines … architecture review boards, design authority meetings, and client stakeholder workshops. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. ...

performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy … throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such ...

solutions. Create and maintain technical documentation, standards, and knowledge repositories. Your Profile: Essential skills/knowledge/experience Strong proficiency in Python, PySpark, Spark SQL, DataFrame APIs, Structured Streaming, and Java. Experience developing and maintaining large-scale data processing and mastering pipelines using PySpark. Strong experience … GitLab CI, Azure DevOps, or similar. Experience working with YAML and JSON configuration files and Infrastructure-as-Code concepts. Strong experience with Spark for large-scale data processing using DataFrames, RDDs, and Spark SQL. Hands-on experience developing ETL workflows, lakehouse solutions, dataflows, pipelines, and semantic ...

considering: We are seeking an experienced Azure Data Engineering Lead with deep expertise in Azure Databricks, Azure Data Factory (ADF), PySpark, SQL, Delta Lake, and Azure cloud-native data services to drive the design and delivery of enterprise-scale data platforms for leading banking and financial services clients. … Azure Data Factory (ADF), and ADLS Gen2. Expertise in designing scalable, resilient, and enterprise-grade Azure data solutions. Advanced proficiency in PySpark, Python, Spark SQL, and SQL. Strong experience with SQL optimization, performance tuning, joins, window functions, and stored procedures. Extensive experience in developing ...

high-stakes and the upside of getting it right is visible at company level. You'll design and deploy solutions in Python, SQL and Spark SQL, working across Azure Synapse, Snowflake, Databricks and Azure ML. The environment is modern and evolving. You'll help … afterthought Strong candidates will come from a background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about business problems and turn them into scalable analytical solutions ...

bring: Extensive data engineering/integration/migration experience Hands-on Azure Data Factory, Fabric Data Factory, or Synapse Pipelines Strong SQL - profiling, transformation, validation, reconciliation PySpark/Spark SQL notebook experience (Databricks or Fabric) Proven experience on a data migration project ...

experience designing canonical data models or enterprise logical data models. Strong understanding of data modelling techniques, including conceptual, logical and physical modelling. Strong SQL skills and ability to interrogate complex relational data structures. Experience working with cloud data platforms, ideally AWS and Databricks. Understanding of modern data architecture … platforms. Experience with regulatory, client or operational reporting. Experience supporting data migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing ...

7+ years Databricks solution design, implementation, engineering experience required Either 5+ years building data pipelines in Databricks using PySpark, Scala and/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying, promoting ...

engineering, and modern Lakehouse solutions. The client is looking for a hands‐on engineering professional with strong Microsoft Fabric, Spark, PySpark and SparkSQL expertise, capable of designing, building and supporting enterprise‐scale data platforms. Start Date: ASAP Duration: 3 Months Initially Pay Rate: Competitive IR35 Status: Outside IR35 … Location: London (1 day per week onsite, remainder remote) The Role: The core requirement is strong Lakehouse expertise, particularly Spark, PySpark, and SparkSQL. Hands‐on experience in low‐code is essential. Data & Analytics Expertise: Data architecture (Lakehouse, Medallion, Kimball, 3NF). Data ingestion and processing. Data quality frameworks ...

analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator ...

focused on data platforms, analytics engineering and Lakehouse solutions. You will design, build and support enterprise-scale data platforms with Spark, PySpark, SparkSQL and Microsoft Fabric. The role requires hands-on coding, data governance, ingestion and API integration capabilities, plus a passion for modern analytics and low-code ...