251 to 275 of 700 ETL Jobs in England

Platform Implementation: Lead the design and development of a new global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and scripting More ❯

Amazon Music engages fans, artists, and creators on a global scale. Learn more at BASIC QUALIFICATIONS - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one More ❯

CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic thinker with commercial acumen; can link technology to bottom‐line impact. Inspiring leader who builds high‐performing cross‐functional teams. Exceptional communicator able to translate More ❯

CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic thinker with commercial acumen; can link technology to bottom‐line impact. Inspiring leader who builds high‐performing cross‐functional teams. Exceptional communicator able to translate More ❯

preferred) Nice to have Experience: Familiarity with Streamlit or other lightweight internal tooling UIs Exposure to LLMs , OpenAI tools , or agent-based systems Experience using Google Analytics or reverse ETL tools like Hightouch Building and scaling data products from scratch Prior experience in startup or scale-up environments Benefits: Competitive Salary: We offer pay that reflects your skills and the More ❯

role, you will: Partner closely with engineers and business leaders to design and build Relay's core data models Take ownership of Relay's data infrastructure, including our ingestion, ETL, data quality monitoring and data catalogue. Collaborate with team members across every function and business area at Relay. Regularly spend time in the field understanding how your data models match More ❯

detailed management reports. Strong analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Extensive previous experience in data management. Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote More ❯

internal data products are accurate, trusted, and well-governed. This is a hands-on, engineering-driven role on a small, high-leverage team. Your Impact: Design, build, and maintain ETL/ELT pipelines and batch/streaming workflows. Integrate data from external APIs and internal systems into Snowflake and downstream tools. Own critical parts of our Airflow-based orchestration layer More ❯

working with franchisees or external partners on performance management. Proficiency in data visualization tools (Power BI, Tableau, or similar). Familiarity with data storage and integration platforms (Snowflake, APIs, ETL processes). Understanding of POS systems and financial reporting. Strong stakeholder management and communication skills. Ability to work cross-functionally with IT, operations, and franchise partners. Problem-solving mindset with More ❯

working with franchisees or external partners on performance management. Proficiency in data visualization tools (Power BI, Tableau, or similar). Familiarity with data storage and integration platforms (Snowflake, APIs, ETL processes). Understanding of POS systems and financial reporting. Strong stakeholder management and communication skills. Ability to work cross-functionally with IT, operations, and franchise partners. Problem-solving mindset with More ❯

in relevant domains such as fraud, AML detection, or operations Advanced proficiency in SQL and experience working with large, complex, and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can More ❯

Technical Ownership Own the end-to-end architecture and reliability of Zego's data platform, from ingestion and transformation to governance and observability. Guide the team in evolving our ETL/ELT pipelines, data models, and real-time processing frameworks. Lead the development of new data architectures and the introduction of new technologies. Innovation & Delivery Drive the adoption of modern More ❯

In this role you will Review and evaluate processes and procedures. Document the evaluation and recommendations and change the process or procedure in a controlled manner Administer Data Engineering & ETL applications. Collate and analyse customer information requirements, which may be complex or incomplete, and translate them into technical designs/specifications. Assist in the development and maintenance of project plans … for Data Engineering projects. Develop, reconcile/validate and implement Extract Transform Load (ETL)/Extract Load Transform (ELT) jobs from NHSBTs source systems to NHSBTs Data Platform (NDP), Operation Data Stores (ODS) and reporting databases. This may be using a Graphical User Interface (GUI) or by writing complex SQL, PL/SQL or T-SQL. Create, reconcile/validate … Essential Experience of delivering technical training to technical and non-technical users. Experience and knowledge in Data Engineering applications in the following areas: Administration, Security Experience and knowledge in Extract Transform Load (ETL) applications Extensive experience and knowledge in the following languages: Structured Query Language (SQL) PL/SQL and/or T-SQL Experience of designing, building and maintaining More ❯

using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams More ❯

with Google Analytics 4 and Google Tag Manager. Proficiency in BI tools like Looker Studio and Power BI. Strong knowledge of dataLayer customisation for advanced tracking needs. Experience with ETL processes and data pipelines. Familiarity with Google BigQuery, SQL, and performance marketing analytics. Ability to analyse user journeys and identify optimisation opportunities. What we can offer you What we can More ❯

Strong skills in using Excel for data analysis Experience with data visualisation software (PowerBI preferred) to create clear and insightful visualisations Experience using SQL suite of software including the ETL process Ability to present data and findings clearly and concisely to both technical and non-technical audiences. Ability to work collaboratively within a team environment Willingness to take initiative and More ❯

data and validate by profiling in a data environment Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data Liaise with data/business SME to understand/confirm data requirements and obtain signoffs Implement data quality procedures More ❯

Dashboard creation, Data Modelling, DAX, Power Query) Understanding of analysis methodologies essential. Previous experience with report building tools is essential, (experience with SAP Business Objects advantageous). Awareness of ETL processes and database automation. Experience working with AI tools to generate automated insights advantageous Confident in Microsoft Excel and full Microsoft Suite. (Or cloud based equivalents) From humble beginnings to More ❯

SQL Critical thinking and ability to problem solve Experience with data warehousing and database systems Exposure to working with CI/CD Knowledge of developing data pipelines Exposure to ETL (Extraction, Transformation and Load) Willingness to learn Solid understanding of software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯

experience with cloud and linux environments (AWS a plus) Understanding and/or experience with and parsing different data formats (JSON, XML, etc) Understanding and/or experience with ETL, SQL Previous work in Customer and/or Employee Experience software and systems, including pre or post-sales support Bachelor's Degree (not required as equivalent work experience may also More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

large, complex data sets from internal and external sources, including API integration and scripting. Design and implement scalable infrastructure and automate manual processes. Manage data extraction, transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements More ❯

engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working with stakeholders are essential. Experience in consulting or client-facing roles is a plus. More ❯