1 to 25 of 34 Permanent ETL Jobs in the Thames Valley

delivering data engineering solutions on cloud platforms, preferably Oracle OCI, AWS, or Azure Proficient in Python and workflow orchestration tools such as Airflow or Prefect Expert in data modeling, ETL, and SQL Experience with real-time analytics from telemetry and event-based streaming (e.g., Kafka) Experience managing operational data stores with high availability, performance, and scalability Expertise in data lakes More ❯

must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design Power BI for enterprise-grade reporting and visualisation Strong knowledge of data modelling 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 ❯

error handling strategies. Optional scripting skills for creating custom NiFi processors. Programming & Data Technologies: Proficiency in Java and SQL. Experience with C# and Scala is a plus. Experience with ETL tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake More ❯

Defining and executing the data engineering strategy in alignment with organisational goals Collaborating with cross-functional teams and stakeholders to understand data requirements Architecting and maintaining robust data pipelines, ETL processes, and data warehouses Evaluating and selecting appropriate data storage, processing, and integration technologies Establishing best practices for scalability, performance, and cost-effectiveness Developing and enforcing data governance and management 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 ❯

A proactive, self-starting attitude with a passion for continuous learning and improvement. Experience with geospatial data or tools; QGIS is essential, ArcGIS and FME are desirable. Familiarity with ETL processes and collaboration with data engineering teams is a strong plus. Experience working in agile teams and contributing to iterative delivery cycles. Advanced Excel skills Openness to travel (expenses covered More ❯

sources to tell the story in simple terms, identifying patterns/trends to unlock opportunities to deliver cost opportunities and maximise the sustainability impact. Experience with SQL queries and ETL (such as Informatica or Matillion). Experience with BI skills for the analysis and development of interactive dashboards and reports Excellent verbal and written communication skills and high attention to 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 ❯

communicating analysis findings Familiarity with core analytics and BI techniques in a high-volume, high-dimensional environment Desirable Skills Experience with data modelling methodologies (3NF, Data Vault) Understanding of ETL processes and data warehousing principles Power BI knowledge Awareness of data governance and data management best practices If the above sounds of interest do please apply with your latest CV More ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps More ❯

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 ❯

BI, SSRS, or equivalent). Proven ability to translate business needs into actionable technical solutions. Strong problem-solving skills and ability to work independently and take ownership. Experience with ETL processes and data warehousing concepts. Familiarity with source control and deployment best practices (e.g., Git, CI/CD tools). Desirable Skills Experience in Azure Data Platform (e.g., Azure SQL 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 ❯

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). Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote sensing technologies and water quality monitoring More ❯

of network management systems, topology modelling, and asset interconnectivity in physical or digital rail infrastructure.Solid experience with enterprise integration patterns, middleware, and data platforms.Familiarity with cloud data architecture, modern ETL/ELT approaches, and API-based data exchange.Collaborative mindset; ability to work with multidisciplinary teams and communicate effectively with technical and non-technical stakeholders. Nice to have Experience in data More ❯

role ideally supported by a relevant STEM degree Data Analysis skills including good SQL knowledge Experience with related/complementary software such as Power BI and Python Understanding of ETL process and data warehousing concepts Be confident to handle and model large amounts of data, create solutions and solve problems to answer key business questions. Ability to elicit requirements from More ❯

closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage … closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage More ❯

development and deployment Evaluate and adopt new data technologies Collaborate with scientists, researchers, and operational teams Qualifications & Experience: Extensive Python programming experience in enterprise environments Knowledge of data modeling, ETL, data warehousing, and SQL Cloud computing experience Strong communication skills Innovative mindset and ability to solve challenges creatively Ability to work in a fast-paced, startup-like environment Nice to More ❯

AWS stack and infrastructure-as-code tools to build robust data pipelines and applications that process complex datasets from multiple operational systems. Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats More ❯

teams, infrastructure support teams, key suppliers, and other Boeing programs applying the same technologies. As part of your role, your duties and responsibilities will include: Designing, developing and implementing ETL (Extract, Transform, Load) processes, using SAP Data Services. Create and maintain data flows, jobs, and workflows to ensure efficient data processing. Identify, troubleshoot, and resolve defects in existing data integration More ❯

security. On a daily basis the ERP Database Administrator will support and troubleshoot integrated modules in the ERP system, modules including Doc-Trak, Shop-Trak, Bartender, and Salesforce. Maintain ETL processes and scheduled data exchanges between the ERP and integrated systems via APIs, SQL jobs, or middleware tools. You will manage users access, role permissions, and audit controls across ERP More ❯

security. On a daily basis the ERP Database Administrator will support and troubleshoot integrated modules in the ERP system, modules including Doc-Trak, Shop-Trak, Bartender, and Salesforce. Maintain ETL processes and scheduled data exchanges between the ERP and integrated systems via APIs, SQL jobs, or middleware tools. You will manage users access, role permissions, and audit controls across ERP More ❯

the intersection of data, automation, and customer intelligence . As we scale, we're looking for a talented BI Analyst to join our analytics team and help our clients extract true business value from their data. The Role As a BI Analyst , you will play a critical role in helping our clients understand and optimise their CRM and business performance … BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For More ❯