1 to 25 of 29 ETL Jobs in the Thames Valley

implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment . Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements. Optimize data solutions for performance and … up monitoring and data quality exception handling. Strong data modelling experience. Experience managing and developing CI/CD pipelines. Experience with Microsoft Azure products and services, and proficiency in ETL processes. Experience of working with APIs to integrate data flows between disparate cloud systems. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. The aptitude More ❯

standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. Contribute to the development of a Data Center of Excellence (CoE) by sharing knowledge, reusable components, and data standards. Provide technical More ❯

that impact the data warehouse. Ensure data accuracy, consistency, and integrity across warehouse and source systems. Maintain and evolve the data dictionary and associated metadata for the warehouse and ETL systems. Mentor and support team members to build a high-performing, resilient data function. Keep up to date with industry developments and maintain relevant technical expertise. Complete all mandatory training More ❯

technical concepts into clear, actionable insights. ● Collaborate cross-functionally to align data strategy with business objectives. What we are looking for: ● 2-3+ years experience in Data Engineering, ETL Development, or Database Administration. ● Prior experience working with business intelligence, analytics, or machine learning teams. ● Experience in cloud-native data solutions and real-time data processing. ● Proficiency in Databricks, Python … SQL (for ETL & data transformation). ● Knowledge of GDPR, data security best practices, and access control policies ● Strong problem-solving and analytical skills to optimise data processes. ● Excellent collaboration and communication skills to work with cross-functional teams. ● Ability to translate business requirements into technical solutions. ● Strong attention to detail and commitment to data quality. More ❯

visualisations and narratives. Support change management, adoption, and user training. Technical Skills (Required/Desirable): Azure Data Factory, Synapse, Databricks, Microsoft Fabric. Data warehouse & lakehouse architecture. Strong SQL, Python, ETL/ELT knowledge. Power BI and data visualisation tools. Agile delivery experience. You’ll Have: 5+ years in Microsoft data technologies. Strong consulting and stakeholder management experience. Excellent documentation and More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

focused but other Cloud technologies such as Oracle andAmazon Web Services (AWS) are usedin FCDO. The successful candidates will build complex data pipelines (both Extract Transform and Load ETL and Extract Load and Transform ELT ) in the Azure cloud platforms. You will work with structured and unstructured data, data lakes, data warehouses to service operational and analytical business needs. The More ❯

and management Proficient SQL and/or Python capabilities - minimum 2-3 years hands-on experience Comprehensive Data Engineering background - proven track record in enterprise data solutions Experience with ETL processes and data transformation , preferably using Databricks Strong foundation in Data Warehousing architectures and dimensional modeling Familiarity with batch processing from relational database sources Communication & Collaboration Skills of the Data More ❯

ll play a pivotal role in shaping how vital geospatial and property data is structured, visualised and applied. What You’ll Be Doing: Analyse large-scale, complex datasets to extract insights, trends, and improvement opportunities Create impactful dashboards, reports, and data visualisations to support business and customer decisions Collaborate with Data Engineers, PMs, and stakeholders to support the development of … ArcGIS, etc.) Advanced Excel skills; experience with Python or R is a strong plus Strong communicator – able to explain technical insights to non-technical audiences with clarity Understanding of ETL processes, data quality assurance, and working closely with Data Engineers Comfortable operating in agile teams and delivering in iterative cycles Cloud knowledge (especially AWS) is a plus Why Apply? This More ❯

data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python,PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and GCP data solutions. Good understanding of deploying AI solutions in Azure More ❯

frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long-term strategy with short-term More ❯

ensuring data accuracy and availability for reporting and analysis. Support the rollout of an Azure-based data lake, working alongside external partners and internal stakeholders. Design and implement scalable ETL packages using Microsoft tools such as SSIS and SSRS. Produce and enhance interactive reports and dashboards, facilitating clear communication of insights to non-technical users. Assist in training end users … for data tools and systems. Participate in peak reporting cycles and ad hoc data requests as needed. Key Requirements of the Data Engineer: Strong expertise in SQL, SSIS for ETL pipeline creation, and SSRS for report development. Experience with Power BI for data visualisation. Familiarity with Azure data services such as Data Lake, Data Factory, and Synapse Analytics is an More ❯

and Business Intelligence (BI) initiatives and projects. Ensure reported data reflects the underlying systems accurately. Assist in the maintenance of data dictionaries and labeling within the data warehouse and ETL systems. Support and mentor team members, fostering a collaborative and resilient team environment. Stay up to date with relevant technologies and maintain technical competencies. Ensure completion of all required training More ❯

vibrant organisation. What You'll Do: Coding DAX Measures and Dimensional Models Developing & delivering visually compelling Power BI Dashboards & Reports to specification Developing and maintaining SSRS reports Developing & maintaining ETL pipeline solutions in Azure Data Factory and SSIS, utilising Azure Data Lake & Dev Ops Providing second & third line support for Data Team and own allocated support tickets Monitoring the Data 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 ❯

Job Summary We are seeking a skilled and motivated Data Scientist to join our client. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data … Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: - Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. - Design and develop ETL pipelines and workflows for data preprocessing. - Develop automated tests to validate the processes and models you create. Collaboration & Communication: - Collaborate with stakeholders to define project goals, requirements, and deliverables. - Actively More ❯

Your Mission: Design and build data integration solutions following technical standards. Develop application interfaces for data and analytics products. Work on big data projects, leveraging real-time technologies. Support ETL development and data transformations based on business requirements. Ensure data work aligns with governance and security policies. Collaborate with the wider data and analytics team. Maintain and troubleshoot production data … pipelines. Document data development using technical documents and DevOps tools. Skills & Experience: Solid experience with Azure data integration stack. Proficiency with SQL, ETL, Python, and APIs. Strong knowledge of relational databases (MySQL, SQL Server, PostgreSQL). Experience with NoSQL databases (e.g., Cosmos DB). Familiar with data integration methods (real-time, periodic, batch). Strong understanding of application interfaces (REST More ❯

with your team and other teams to optimise data solutions. This is a fantastic opportunity for highly skilled and motivated Lead Data Engineer with strong expertise in data architecture, ETL pipelines, cloud technologies and big data solutions. In this role, you will have the following: - Technical Leadership Team Management Leading by Example (100% hands-on) Data Strategy & Solutions Cloud (Azure … minimum of 2). Extensive Big Data hands-on experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are … our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Lead Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, On-Prem, Cloud, ETL, Azure Data Fabric, ADF, Databricks, Azure Data, Delta Lake, Data Lake. Please note that due to a high level of applications, we can only respond to applicants whose skills and More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If you're interested in this role, click More ❯

Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If you're interested in this role, click More ❯