26 to 50 of 383 ETL Jobs in England

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 ...

delivering scalable data solutions across the data engineering lifecycle. Responsibilities Build and optimise scalable data pipelines using PySpark and SQL Design and implement ETL/ELT processes for batch and streaming data Develop data solutions using Databricks Lakehouse and Delta Lake Ingest and integrate data from internal and external sources ...

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 ...

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/ ...

modern Databricks on AWS environment, you’ll help deliver reliable, high-quality data to support business insights. Key Responsibilities Build and maintain scalable ETL/ELT pipelines using Python and PySpark Ingest and integrate data from multiple sources including trading, finance, and operational systems Work within a Databricks Lakehouse architecture ...

Collaborate in cross-functional, agile teams Communicate insights clearly to senior stakeholders Data Engineering + Analysis (Foundry Context) Design and manage data transformation pipelines (ETL, SQL, Python) Integrate multiple enterprise data sources (claims, underwriting, actuarial, finance systems) Analyse large, complex datasets to identify trends and insights Support data modelling and ...

Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve-outs ...

Collaborate in cross-functional, agile teams Communicate insights clearly to senior stakeholders Data Engineering + Analysis (Foundry Context) Design and manage data transformation pipelines (ETL, SQL, Python) Integrate multiple enterprise data sources (claims, underwriting, actuarial, finance systems) Analyse large, complex datasets to identify trends and insights Support data modelling and ...

test progress, risks, and readiness to senior stakeholders. Ensure compliance with audit requirements and drive continuous improvement. Required Skills Strong background in data testing, ETL validation, and data migration. Hands-on expertise with cloud-based data platforms (Azure Data Factory, Databricks, Delta Lake). Advanced SQL skills for complex query ...

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 ...

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 ...

Data Analysts, MI teams, and Data Scientists to ensure our data is accurate, accessible, and engineered for performance.  Key Responsibilities Design and build robust ETL pipelines to integrate large datasets into the BGB Data Estate. Develop scalable data products to support analytics, reporting, and machine learning initiatives. Implement data quality ...

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 ...

with excellent communication and project coordination skills. Key Responsibilities Design, develop, and maintain interactive dashboards and reports using Power BI Build and optimise scalable ETL (Extract, Transform, Load) pipelines Develop and manage automated workflows using Python and Apache Airflow Manage and optimise SQL and Oracle database environments for performance, reliability … data processing and automation Solid experience with SQL and Oracle database systems Hands-on experience with Apache Airflow for workflow orchestration Strong understanding of ETL processes, data pipelines, and data architecture Experience managing data-focused projects including planning, coordination, and risk management Ability to communicate effectively with both technical and ...

Doing Building and optimising AWS data pipelines Supporting BI reporting and analytics solutions Contributing to data lake and modern data platform development Developing scalable ETL/ELT processes Working on AI-enabled data initiatives and emerging technologies Improving data quality, governance, and platform performance Key Skills Required AWS Glue, Redshift ...

reporting best practices. Strong communication and stakeholder management skills. Desirable Experience with Microsoft Fabric, DAX, Power Query, SQL Server, or Oracle SQL. Knowledge of ETL processes, data warehousing, and automation tools. Experience with Python, R, Pandas, or similar analytical tools. Familiarity with version control and CI/CD practices. Benefits ...

Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments Drive the design of scalable data pipelines, ETL/ELT frameworks and integration patterns Establish governance, data quality and security standards across the platform Support cloud migration and legacy modernisation initiatives Provide architectural ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, you’ll help shift the organisation from reactive issue resolution ...