26 to 50 of 464 ETL Jobs in the UK

Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability in Python, Scala or Java for data processing Deep understanding of data warehousing concepts and best practices Experience ...

Lakes, Data Factory, Azure Synapse, Azure SQL, and Power BI. Knowledge of Microsoft Fabric. Proficiency in SQL and Python. Understanding of data integration and ETL processes. Ability to work with large datasets and optimise data systems for performance and scalability. Experience working with JSON, CSV, XML, Open API, RESTful ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

high-performing team supporting data, analytics, automation, and business intelligence initiatives within a leading manufacturing environment. Key Responsibilities Data Engineering & Management Develop and maintain ETL/ELT pipelines using Python, SQL, and Snowflake. Cleanse, validate, transform, and manage enterprise data. Support scheduled data loads and data quality processes. Maintain data ...

vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business. Key Responsibilities Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake Cleanse, transform, and validate large datasets to ensure data accuracy and integrity Manage scheduled data loads ...

high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality ...

will be responsible for developing and maintaining data solutions that support operational and strategic business objectives. Key Responsibilities Data Engineering & Management Develop and maintain ETL/ELT pipelines using Python, SQL, and Snowflake. Cleanse, validate, transform, and manage enterprise data. Support scheduled data loads and data quality processes. Maintain data ...

infrastructure. Develop and manage robust data pipelines to ingest, clean and transform data for reporting and analytics. Support and enhance the data warehouse, including ETL processes and data modelling activities. Collaborate with analysts, engineers and business stakeholders to deliver high-quality, data-led solutions. Monitor data performance and identify opportunities ...

complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design, privacy, compliance and governance ...

with Pentaho Business Analytics (Pentaho BA). Strong Oracle database knowledge. Experience delivering data solutions within AWS cloud environments. Solid understanding of: Data integration ETL/ELT processes Data transformation Data orchestration Version control and release management Experience working in Agile delivery teams. Desirable Experience Exposure to AI, Machine Learning ...

helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimise data models for analytics and reporting. • Work closely with software engineers, analysts, and stakeholders. • Ensure data quality, reliability, and performance. • Implement ...

data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery). Write and optimise complex SQL, including stored procedures, functions, views and performance‐tuned queries. Develop ETL/ELT logic using SQL‐based approaches and frameworks. Contact Centre data expertise Work with ACD, IVR and routing datasets. Define and validate Contact Centre ...

modern lakehouse environment, youll focus on automation, data quality, and performance, helping to drive efficient and scalable data operations. You will: Develop and maintain ETL/ELT pipelines to ingest data from multiple sources into Fabric/GCP Ensure pipelines follow medallion architecture (Bronze/Silver/Gold) standards Monitor ...

Synapse, Azure Data Factory, and Azure Fabric. Developing and fine-tuning PySpark notebooks to efficiently manage large-scale data workloads. Implementing, troubleshooting, and enhancing ETL/ELT workflows in Azure Synapse and Microsoft Fabric. Managing and organizing Data Lakes for seamless data access and high performance. Integrating AI/ ...

data architecture, or enterprise architecture roles. Strong expertise with Microsoft Fabric, Azure Databricks, Snowflake, and modern Lakehouse/data platform architectures. Deep experience designing ETL/ELT pipelines, medallion architectures, and semantic models. Strong proficiency in SQL, Python, and cloud-based data engineering tooling. Experience with metadata and governance tools ...

teamwork skills. Experience with cloud data platforms such as Databricks or Snowflake on AWS. Strong skills in Python, PySpark, and SQL. Good understanding of ETL/ELT pipelines and data transformation. Experience with data modelling and database optimisation. Strong knowledge of DBT and SQL best practices. Experience using CI/ ...

delivering reliable, scalable, and governed data solutions. Note: Must have active SC clearance Key Responsibilities Data Engineering & Pipeline Development Design, build, and maintain scalable ETL/ELT data pipelines using Azure Databricks and Azure Data Factory. Develop robust data ingestion frameworks for structured, semi-structured, and streaming data sources. Optimise … Lake Storage, Azure SQL Database, and Azure Synapse Analytics. Strong understanding of Delta Lake architecture and Unity Catalog. Experience building and optimising large-scale ETL/ELT pipelines. Hands-on experience with Azure Purview, data governance, metadata management, and lineage. Experience with Azure DevOps, Git, and CI/CD implementation. ...

team player able to perform peer code reviews and provide constructive mentoring 5 years’ experience within Data & Analytics and DBT Desirable Experience of ETL design and dev, including Test-Driven development Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling) Experience ...

Databricks and Spark Strong understanding of data modelling (3NF, dimensional modelling, star/snowflake schemas, data vault concepts) Experience designing and operating ELT/ETL pipelines Familiarity with data quality frameworks, SLA monitoring and lineage tracking Experience with Snowflake and dbt Proficiency with AWS Experience with version control, CI/ ...

Data Engineer should have: Strong experience designing and building scalable data platforms in Azure. Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines Proven ability to lead, mentor, and develop data engineering teams Hands-on experience with data warehousing, modelling, and performance tuning Solid understanding ...

environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile ...

solutions aligned to their analytical needs Build modern Data Warehouse and Data Lake/Lakehouse solutions (primarily using Microsoft Fabric) Design and develop complex ETL/ELT pipelines Deliver secure, scalable, and high-performing data platforms and infrastructure Implement best practices across data architecture, performance, and security Produce clear technical ...

Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into ...

technical teams Experience gathering and documenting business requirements, data requirements, and functional specifications Experience working with data integration concepts, APIs, or data pipelines (e.g. ETL/ELT processes) Proven ability to translate business problems into data and analytical solutions Knowledge of Microsoft technologies, including SQL Server, Azure (Data Factory), and ...

maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. Develop and fine‐tune complex ...