12 of 12 Permanent ETL Jobs in Berkshire

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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). Extensive previous experience in data management. Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote 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 ❯

Overview We are seeking a skilled and motivated Data Scientist II to join our team. 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 pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with stakeholders to define project goals, requirements, and deliverables. 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 - knowledge of Hadoop and HDFS is 100% required! You MUST have also run a team to be considered for this role - it could … 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 … as our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications, we can only respond to applicants whose skills More ❯