101 to 125 of 339 ETL Jobs in the UK excluding London

Relevant Microsoft certifications in Dynamics 365 and/or Power Platform. Experience working in agile delivery environments, particularly at scale. Knowledge of SSRS, FetchXML, SSIS, or other reporting and ETL tools. Experience with Power Pages (Portals) and customer-facing apps. Familiarity with data compliance standards (e.g., GDPR) and security models within Dynamics. Soft Skills & Traits A confident problem-solver with More ❯

technologies, emerging tools, and best practices to stay ahead in the data and analytics field and bring new ideas into the team An understanding of core data concepts including ETL processes, data warehousing, relational databases, and data modelling Capability to work collaboratively in cross-functional teams and contribute to continuous improvement in delivery processes Project delivery experience Stakeholder management experience More ❯

awarded Actuarial Software of the Year. The role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties … and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer More ❯

migrated data Desirable experience: • Azure data certifications • Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for data processing • Azure storage technologies and cost/performance characteristics • Power BI, DAX, data flows • Techniques and tools for sanitizing data prior More ❯

migrated data Desirable experience: • Azure data certifications • Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for data processing • Azure storage technologies and cost/performance characteristics • Power BI, DAX, data flows • Techniques and tools for sanitizing data prior More ❯

gaming sector are searching for a Senior Data Engineer to join one of their growing teams in London on a hybrid basis. Role & Responsibilities: Design, implement, and maintain robust ETL pipelines to integrate data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools … SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and reporting tools like Tableau. Exceptional analytical skills and a strategic mindset. Strong knowledge of data security, governance, and compliance More ❯

efficient data migration, and supporting our data warehousing needs. Key Responsibilities : Design, develop, and maintain data pipelines using Data Stage, Red Shift, QuickSight, and S3. Perform data migration and ETL processes for both batch and real-time data. Develop and optimise data warehouses to support business intelligence and analytic. Implement DevSecOps practices to ensure data security and compliance. Collaborate with … AWS services to support data integration and processing. Key Skills and Qualifications : Proven experience with Data Stage, Red Shift, Quick Sight, and S3. Strong knowledge of data migration and ETL processes (both batch and real-time). Experience in data warehouse development and optimisation. Familiarity with DevSecOps practices and principles. Proficiency in Java, SQL, and relational databases. Understanding of data More ❯

ll be working on SAP datacentric data and analytics solutions, ensuring seamless integration with cloud platforms like Snowflake and Databricks. You'll also be designing efficient data models and ETL processes. Working with SAP data extractors This will include BW extractors and CDS views and table extractors to integrate data into target platforms. Internal team development & progression You'll champion … challenges A strong desire to learn and share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands-on experience with More ❯

critical infrastructure, while enjoying a hybrid working model with 3 days per week on-site . What You’ll Be Doing: Designing, building, and maintaining scalable data pipelines and ETL processes. Collaborating with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Ensuring data quality, integrity, and security across various platforms. Supporting the migration and integration of More ❯

patterns, and data quality issues. Collaborate with cross-functional teams to define data needs and deliver insights. Build dashboards and reports using tools like Power BI or Tableau. Support ETL workflows and contribute to data pipeline development. Ensure accuracy and consistency of data throughout transformation. Present findings clearly to both technical and non-technical stakeholders. Play a key role in More ❯

patterns, and data quality issues. Collaborate with cross-functional teams to define data needs and deliver insights. Build dashboards and reports using tools like Power BI or Tableau. Support ETL workflows and contribute to data pipeline development. Ensure accuracy and consistency of data throughout transformation. Present findings clearly to both technical and non-technical stakeholders. Play a key role in More ❯

pipelines. Familiar with Cloud security, performance optimisation and monitoring tools (Azure Monitor, Log Analytics). Experience in IT service management environments (ITIL). Cross-functional project delivery. Experience with ETL/ELT processes and data modelling. Understanding of data governance, security, and compliance frameworks. Stakeholder Management. What you'll get in return In return, you will be rewarded with ongoing More ❯

data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows More ❯

multiple priorities. Willingness to learn new systems, tools, and processes. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. Creating and Managing ETL processes Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the More ❯

multiple priorities. Willingness to learn new systems, tools, and processes. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. Creating and Managing ETL processes Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the More ❯

Power BI. Collaboration within the data team to understand requirements and design and build models that support business requirements Support the data team through data extraction, transformation, and loading (ETL) to provide efficient data access solutions. Monitor and troubleshoot data models, identifying and resolving any performance issues and proactively working on measures to maintain data availability and reliability. What do More ❯

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report More ❯

in a small, agile team with real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience designing/building/maintaining ETL pipelines Data modelling experience to forecast and analyse Data warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back More ❯

maintain both front-end and back-end components for our SaaS security platform, with particular emphasis on data processing and analytics systems Data Engineering: Build and optimize data pipelines, ETL processes, and real-time data streaming systems to support security analytics and intelligence. Data Architecture: Design and implement scalable data storage solutions, including databases, data warehouses, and distributed data systems. … best practices, and contribute ideas to the development of new security features. Key Qualifications: 1-2 years of experience in software development. Experience with data pipeline development and optimization (ETL/ELT processes). Solid understanding of distributed systems, databases,(PostgreSQL, Databricks, Clickhouse, ElasticSearch), and performance tuning. Familiarity with modern web frameworks and front-end technologies (React, Vue, Angular, etc. More ❯

hands-on development (C# and/or Python) Strong background in hedge fund, asset management , or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll More ❯

This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills More ❯

This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills More ❯

our customer "spokes". Help embed Data Quality checks, validations, and alerting mechanisms across all data ingestion processes. Partner closely with our Data Engineering Hub in the integration of ETL processes into the Enterprise Data Model platform, ensuring data integrity and seamless flow. Conduct diagnostic data analysis and root cause investigations to identify trends and opportunities for improving business processes More ❯

monitor robust data pipelines and transformative models using our modern data stack, including GCP, Airflow, dbt, and potentially emerging technologies like real-time streaming platforms Develop and manage reverse ETL processes to seamlessly integrate data with our commercial systems, ensuring operational efficiency Maintain and optimise our Customer Data Platform (CDP, ensuring effective data collection, unification, and routing Administer and support More ❯

Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and More ❯