15 of 15 Remote/Hybrid Spark SQL Jobs

this role is to deliver new, and implement changes to existing data solutions, data extraction and transform (ETL), using the full Microsoft SQL stack, for identified and agreed business requirements. In addition, the Senior Data Engineer will be responsible for translating business requirements into Azure Cloud-based … Azure SQL, Azure Data Lake, Datra bricks, Purview and Azure App Service is essential Proficiency in Python/SQL/SparkSQL/PySpark is essential Strong experience of Azure delivery experience including analysis/development/configuration/deployments essential Expert level technical skill ...

techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory ...

deploy scalable batch and streaming data pipelines, AI-ready data products, feature pipeline and analytics solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL. Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution … building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologies Proficiency writing advanced, highly optimised SQL and Spark (PySpark/Scala), with a focus on performance optimisation and maintainability. Designing and building solutions on a cloud data warehouse ...

approved; relevant data solutions development qualifications (e.g. Microsoft certification; Databricks Certification; data apprenticeship qualifications)Additional InformationTech StackSQL Server, SSIS, T-SQLADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lakeSummaryType: Full-timeFunction: Analyst ...

middleware, stabilise it, and begin replacing it with a cleaner, sustainable solution built around modern data tooling (Microsoft Fabric, Databricks, or equivalent, plus SQL and Power BI). Phase 2 (ongoing): Expand to include reporting. Once the core system is stable, the role broadens into wider business reporting … gather requirements from senior stakeholders across the business. Simultaneous: Bring Data Hub and Data Warehouse closer in design standards. Must-haves: Strong SQL Microsoft Fabric, Databricks, Synapse, or similar modern data platform experience Power BI (building and owning reports/dashboards, not just consuming) Comfortable working with ambiguous ...

Designing and building scalable ingestion pipelines from APIs, relational databases and financial data providers into Azure Databricks Writing complex transformations in PySpark and Spark SQL, with Delta Lake as the storage foundation Tuning Databricks workloads for performance and cost, and embedding quality checks and validation into … need from you 8+ years in data engineering, including 3+ years hands on with Azure Databricks Strong Python and PySpark, backed by advanced SQL Deep grounding in data warehousing, data modelling and integration patterns Unity Catalog and Delta Lake in a production environment Data quality and governance experience ...

interested in engineers with strong hands-on Databricks experience. Essential Skills Commercial experience building solutions within Databricks. Strong hands-on expertise with PySpark, Spark SQL, and Delta Lake. Experience designing and supporting production-grade ETL/ELT pipelines. Strong Python and SQL development skills. ...

interested in engineers with strong hands-on Databricks experience. Essential Skills Commercial experience building solutions within Databricks. Strong hands-on expertise with PySpark, Spark SQL, and Delta Lake. Experience designing and supporting production-grade ETL/ELT pipelines. Strong Python and SQL development skills. ...

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 ...

your duties, you will be responsible for: Design, build, and deploy scalable data pipelines using Azure Databricks , Azure Data Factory , and Azure SQL Database . Optimise Databricks environments for performance, cost, and security. Develop and maintain data integration , ETL/ELT processes, and data quality frameworks. Translate business … environments. 8–10 years’ experience in data engineering and integration , ideally in enterprise‐scale environments. Hands‐on experience with Spark (PySpark/SparkSQL) , ETL/ELT design, and data pipeline orchestration . Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working ...

named, specified, and tracked — not just worked around QA coverage expands naturally with each deployment increment rather than lagging behind Technical Strong SQL skills — comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data and verify correctness Hands-on experience with Databricks — running queries … navigating Unity Catalog, reading Spark job outputs and understanding what they mean for data quality Working knowledge of PySpark or Spark SQL — enough to read pipeline code, understand transformations, and trace where data issues originate Understanding of Lakehouse/medallion architecture (bronze-silver-gold ...

results, and managing work items — treating AI-assisted tooling as a first-class part of your workflow rather than a novelty. Technical Strong SQL skills — comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data andverify correctness Hands-on experience with Databricks — running queries … navigatingUnity Catalog, reading Spark job outputs and understanding what they Working knowledge of PySpark or Spark SQL — enough to read pipelinecode, understand transformations, and trace where data Understanding of Lakehouse/medallion architecture (bronze-silvergold) and how data flows and changes shape across layers ...

with Pythonic data processing tools such as Pyspark and SparkSQL. Strong understanding of data modelling concepts relational and non-relational databases. Proficiency in SQL and experience with data integration and ETL tools. Excellent knowledge of big data technologies and frameworks. Strong knowledge of data governance and data security ...

with Pythonic data processing tools such as Pyspark and SparkSQL. Strong understanding of data modelling concepts relational and non-relational databases. Proficiency in SQL and experience with data integration and ETL tools. Excellent knowledge of big data technologies and frameworks. Strong knowledge of data governance and data security ...

translate technical content in commercial terms for non-technical stakeholders, such as customers, sales and product teams Desirable B2B product experience Experience with Spark SQL, PySpark, databricks Experience with CausalAI modelling frameworks (e.g. dowhy, econml) Diversity & Inclusion Intent HQ is an equal opportunities employer with ...