1 to 25 of 219 Permanent ETL Jobs in England

Strong consulting skills: discovery, requirements, backlog shaping, and producing clear deliverables (designs, estimates, plans, and documentation). Knowledge of designing and implementing ELT/ETL processes and integrating disparate line‐of‐business systems and databases (batch and, where required, streaming). Proven track record operating at a senior technical level ...

management, business analysis, and implementation. Responsibilities: Technical Project Management: Manage project timelines and milestones, engage and track resources, join client meetings. Business Analysis: Prepare ETL specifications for implementation specialists. ETL Implementation: Set up ETL (Extract, Transform, Load) workflows in a low-code design environment. UAT and Go-Live Management: Ensure … live and roll-back plans and share with all parties involved. Manage a controlled go live. Provide post-go-live support. Documentation: Document ETL processes. Prepare handover documentation for Operations. Issue Management: Troubleshoot issues and identify solutions. When required, work with vendors to address issues. Collaboration and Stakeholder Management: Work ...

based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data ...

Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules). Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets. Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback ...

value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely ...

that support analytics, reporting, and AI/ML initiatives. Responsibilities: p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Work with ...

that tends to appeal. You will work with Building and maintaining enterprise-grade data pipelines across CRM, HR, Finance, and commercial systems Developing automated ETL/ELT pipelines using modern Azure tools Turning raw data into clean, reliable, analytics- and AI-ready datasets Working closely with data architects, analysts, and ...

Delivery Own It End-to-End: Manage and deliver BI infrastructure from initial brief and requirement gathering through to data pipeline development (APIs/ETL/ELT/SQL). Enable the Analysts: Work alongside your Data Analyst colleagues to help them generate impactful business insights and analysis. Data Platform ...

deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance Key Responsibilities Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies. Develop and ...

and clients. At mid‐level, we expect you to have a good grasp of core concepts of Data Engineering (data structures, databases, data manipulation, ETL, data quality), enabling you to write pipelines of moderate complexity in a consistent style. The technology we use varies between clients, so although we value ...

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 ...

support safety, performance, regulatory compliance, and strategic decision‐making. Some of the main responsibilities of the Data Analyst will include: Develop and maintain robust ETL/ELT pipelines using Azure Data Factory to ingest data from operational systems, sensors, maintenance logs, and regulatory datasets. Use Azure Databricks (SQL/PySpark ...

data pipelines within Microsoft Fabric (Data Pipelines, Dataflows, OneLake, Lakehouse) Support the migration from SAP BW into a Fabric-based architecture Develop and optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute ...

guide junior engineers where appropriate Key Requirements As a Data Engineer , you should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time ...

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 ...

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 ...

and transformation Experience working with distributed data processing frameworks (e.g. Spark) Solid understanding of data modelling and data warehousing concepts Experience building and maintaining ETL/ELT pipelines in production environments Exposure to cloud platforms such as Azure, AWS, or GCP Familiarity with modern data architectures (e.g. lakehouse or layered ...

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 ...

using React and modern JavaScript/TypeScript. Experience designing and building APIs and distributed systems. Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation. Experience with CI/CD, containerised systems, and modern deployment workflows. Familiarity with working alongside data science teams and ...

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/ ...

Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power ...

data is built, trusted, and consumed—working closely with business domains, analysts, data scientists, and platform engineers. Data Engineering & Pipelines Build and maintain robust ETL/ELT pipelines using Microsoft Fabric (Data Factory, Lakehouse, etc.) Design reliable ingestion processes from APIs, databases, and file-based sources Apply best-practice pipeline ...

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 ...

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 ...