51 to 75 of 329 Permanent ETL Jobs in England

CI/CD pipelines within Azure DevOps; Working experience of database development methodologies, including hands on experience with SQL; Working experience and automation of ETL processes and tools such as SSIS, ADF, Azure Synapse; Highly scalable data processing platform design and implementation experience; Understanding of Infrastructure as Code frameworks e.g. more »

exposure to Terraform would be great Liaising with other areas across the business to help define requirements for new projects, including both pipeline and ETL requests What’s on offer to you? 💰 £50-60k Bonus of up to 10% Flexible working (core hours) Private health 10% Pension Life Assurance more »

Servers as well as troubleshooting any issues on behalf of users. Requirements Extensive experience- SQL Server 2012/2014/2016 databases and SSIS (ETL) SQL Server BI Stack – Specifically SSRS Stakeholder Management and influencing skills Working knowledge of at least one BI Reporting Tool (e.g. Tableau, Qlikview etc.) Advanced more »

Provide estimates, work independently and meet deadlines Manage the releases and the related builds in each environment Perform development, testing, and support of data ETL/ELT programs (pipelines), using such tools as AWS Glue, Azure Data Factory, Informatica or similar ETL/ELT platforms, as well as knowledge of … learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical data models and use ETL skills to load the physical layer, based on an understanding of timing of data loads, data transformation, and optimization of ETL load performance. Provide production more »

financial services. Strong leadership skills with a track record of successfully managing and developing high-performing teams. In-depth knowledge of data engineering concepts, ETL processes, and data warehouse architectures. Expertise in working with big data technologies and cloud platforms (preferably AWS or Azure). Familiarity with asset management industry more »

Science, Engineering, or a related field. Strong Python development. Experience with Pandas is desirable. 3+ years of experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within our stack: AWS/Apache beam/Kafka. Experience with Object Orientated Programming more »

Your Responsibilities in this Role will be: Taking ownership of designing and developing scalable data models and warehouses Create and maintain database objects, and ETL processes Optimize data ingestion and transformation processes Collaborate with stakeholders Ensure effective database optimization and security implementation Champion data quality and integrity Requirements: SQL Python more »

reliable data ingestion, processing, and storage solutions at scale and prototyping new approaches. · Assist and collaborate with internal and external stakeholders · Develop and optimise extract, transform, load (ELT) processes ensuring smooth flow of data from various sources into the data platform. Perform data cleansing, validation, and enrichment to support accurate … Experience in owning, designing and implementing data pipelines ingesting enterprise levels of data volume with strong knowledge of data engineering concepts, data integration, and ETL processes Ability to write production-grade code including automated testing and able to deploy code via CI/CD platforms (e.g. Github Actions, Jenkins) Experience more »

a focus on FSS (Financial Services System) and associated functional, business, and data processes. Additionally, the Test Engineering Manager will oversee data migration and ETL (Extract, Transform, Load) activities, ensuring the successful delivery of source-to-target mapping and business sign-off. Key Responsibilities: Lead and manage the testing team … write complex queries and perform data analysis. Strong understanding of the data migration lifecycle, approaches, tools, and techniques. Proven experience in data migration and ETL, including source-to-target mapping and business sign-off. Technical test experience, with a track record of successful project delivery. Previous experience in people management more »

and maintenance of our data infrastructure using the Microsoft stack. Drive data engineering and modelling efforts to ensure data accuracy, reliability, and accessibility. Implement Extract, Transform, Load (ETL) processes to streamline data workflows. Utilise data warehousing and analytics techniques to derive actionable insights. Collaborate with cross-functional teams to understand … data requirements and deliver solutions. Proactively identify and solve complex data-related challenges. Requirements: Proficiency in data engineering and data modelling. Strong experience with ETL processes. Knowledge of data warehousing and analytics principles. Skilled in SQL and Python programming languages. Familiarity with cloud-based data platforms such as AWS, Azure more »

team whilst ensuring the overall performance of the solutions utilising the latest technologies, processes and best practice. You will design and build data pipelines, ETL processes and data workflows that enable data to be transferred seamlessly across a variety of platforms Required Skills: - Effective experience leading, motivating and developing a more »

harmonising data, messages, etc. Desired experience: Building integration solutions Experience in designing application databases Experience in designing and building data pipelines using SQL, code, ETL tools Strong estimation and planning skills Mentoring team members and peer-review of their work If you're interested in this opportunity, please click Apply more »

years’ experience with DAX Demonstrable experience of Power BI, Power Platform and licensing Translate complicated strategies Good communication skills, both verbal and written ETL experience desired but not essential Data Mining experience desired but not essential Main Responsibilities: Analyst data sets Research, develop, and implements data-gathering methods Evaluate implemented more »

and optimize automation processes, effective monitoring, and infrastructure-as-code using Terraform. Collaborate closely with our engineering teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for more »

optimizing data processing performance Strength our data stack to bear the load of our ever expanding, data driven business Develop and maintain data models, ETL processes, and data warehousing solutions to support analytics, machine learning, and reporting Ensure data security and compliance with industry regulations and best practices Identify, analyse … data engineering Are an expert building complex and robust data architectures handling large amounts of data Have experience with data modelling, data warehousing, and ETL processes You'll get extra points for... Having the gaming industry experience Your experience as a Team Technical Lead/Delivery Manager Possessing high problem more »

and test cases to validate data mapping processes. Conduct data profiling and analysis. Utilize strong SQL skills to perform data extraction, transformation, and loading (ETL) operations. Execute technical tests to verify the reliability of migration tools and processes. Investigate and troubleshoot data discrepancies, errors, and failures, providing timely resolution and more »

Over time we will have a Full Lifecycle API Management Framework in place as part of this work. The team also designs and builds ETL pipelines using a modern data and event driven architecture. We provide a central point of expertise to own and manage our integration tools, processes and more »

warehouses and data lakes, implementing data integration and transformation solutions, ensuring data quality and integrity, and optimizing data performance. Responsibilities: Develop data pipelines for ETL/ELT (Extract, Transform, Load) processes using Azure technologies. Build and maintain scalable and efficient data warehouses and data lakes on Azure platforms. Implement data more »

storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business is growing quickly and with that so … Key Responsibilities Design, construct, install, test, and maintain data pipelines. Ensure systems meet business requirements and industry practices for data integrity and quality. Manage ETL and ELT pipelines across many data sources (CSV/parquet files, API endpoints, etc) Design and build data models for the business end users. Write more »

a talented team and work within our client's IT function. Principal Job Duties & Responsibilities: build, and test corporate data warehouse. test, and document ETL and ELT solutions. accurate documentation, including lineage, for all solutions. and assess solution performance and suitability. data models, schemas, and metadata repositories. operational data warehouse … Knowledge, and Experience: experience with SQL, preferably with Microsoft SQL Server and Oracle. in data warehousing, data modeling, data science, and cloud solutions. with ETL development using Azure Data Factory and Informatica. management experience in data warehousing or data engineering. with both Cloud (Azure) and On-prem data platforms. in … and complex environments. with Azure DevOps and CI/CD pipelines. Competencies: Knowledge of data warehouse management best practices. Solution design, build, and testing. ETL design and dimensional, OLAP, and relational-based solutions. Kimball and Inmon architectures. Design data quality and master data management processes. Thinking Orientation Acumen Collaborative Relationships more »

data sources as required. Depending on the project, your daily responsibilities could be quite varied, but typically our Data Engineers: Understand, build and develop ETL and data integration solutions using a wide array of technologies and data sources Work with data and big data components and migration strategies Work with … experience required We’re looking for people with good data engineering skills, and you’ll ideally bring with you: Proven role experience in developing ETL and data integration solutions Good knowledge of the Azure data engineering stack - Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Blob, Cosmos DB Capability more »

focus is on data analytics and migrating from Tableau to Power BI. Experience/skills required: Proficient in data analysis, data modelling and designing ETL processes. Familiar with Data Mesh architecture and Data Products Highly skilled in T-SQL with experience in performance tuning and dealing with large data volumes … differences in the approach for building self-service BI (business or IT managed) vs Corporate BI solutions including the choice of data sources and ETL approach Familiar with engineering processes for developing APIs Understanding the principles of building solutions using Snowflake, open-source frameworks, multi-cloud infrastructure In Return: A more »

the following: Translating Business requirements to technical solutions and theproduction of specifications. Designing and implementing business intelligence & modern data platform technical solutions. Data modelling, ETL, data integration, data migration, design and implementation. Master data management system and process design and implementation. Data quality system and process design and implementation. Major … data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best more »

the following: Translating Business requirements to technical solutions and theproduction of specifications. Designing and implementing business intelligence & modern data platform technical solutions. Data modelling, ETL, data integration, data migration, design and implementation. Master data management system and process design and implementation. Data quality system and process design and implementation. Major … data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best more »

these tools to implement rate changes. Understanding of best practice design and coding principles. A logical aptitude, with strong problem-solving skills. Familiarity with ETL tools such as SAS, SQL and Excel Proficient in writing both technical and business focused documentation. The ability to cater their communication style between non more »