18 of 18 ETL Jobs in Gloucestershire

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need Demonstrable experience designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud More ❯

ability to troubleshoot complex data pipeline issues Desirable skills: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK More ❯

ability to troubleshoot complex data pipeline issues Desirable skills: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK More ❯

processes for various bordereaux (both Risk and Claims) using data ingestion and analysis tools such as Intrali, Quantemplate, or Matillion. The project focuses on the extraction, transformation, and loading (ETL) of data from various sources into data warehouses and data lakes. This is an ideal role for an aspiring Data Architect in the Insurance Industry. Pro operates a hybrid working More ❯

as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation skills for engaging senior stakeholders Ability to handle high More ❯

in Big Data Java development. In-depth knowledge of Big Data frameworks, such as Hadoop, Spark, and Kafka, with a strong emphasis on Java development. Proficiency in data modeling, ETL processes, and data warehousing concepts. Experience with data processing languages like Scala, Python, or SQL. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes). Strong knowledge of software development More ❯

data platforms. · Expertise in architecture frameworks like TOGAF, Zachman, or similar. · Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-native architecture principles. · Proficiency in data modeling, ETL pipelines, APIs, microservices, and integration architectures. · Excellent communication skills with ability to influence stakeholders at all levels. Preferred Qualifications: · Experience with tools like ArchiMate, Sparx EA, or similar. · Familiarity with More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

Excellent time keeping and task prioritisation skills An ability to provide clear and concise updates An ability to convey technical concepts to all levels of audience Data engineering skills - ETL/ELT Technical implementation skills - application of industry best practices & designs patterns Technical advisory skills - experience in researching technological products/services with the intent to provide advice on system More ❯

and professional experience Proven experience in leading and delivering complex data migration projects. Strong technical knowledge of data migration tools and techniques. Experience with various data migration methodologies (e.g., ETL, data warehousing). Excellent communication, stakeholder management, and problem-solving skills. Relevant certifications (e.g., Oracle certifications, data management certifications) or equivalent. Experience in a consulting environment. Connect to your business More ❯

and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and Parquet). Comfort with Agile development methodologies. Excellent teamwork and communication skills, with a talent for translating technical concepts into actionable insights for non-specialists. More ❯

to our delivery of projects, BAU, and helping Ecotricity become more efficient by leveraging our data. In addition to the technologies above, we also use Python, APIs, and various ETL solutions interfacing with a small number of legacy systems. Responsibilities Take ownership for delivering all asks made of you on time and to specification. Build strong relationships with key stakeholders … in our people whenever we can. About You You will have considerable technical experience and a passion for developing data solutions. Handling data in any format, data modelling and ETL processes will all come naturally to you. You will have a demonstrable technical skillset as engineering skills are paramount to this role. Knowledge of the Energy industry would be useful 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 ❯

in Gloucester Gloucester location – hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep … clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure data consistency, quality, and security across all processes. Create and maintain database schemas and data models. Integrate and enrich data from diverse sources, maintaining data … clearance (West) Willingness to work full-time on-site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to henry.clay-davies@searchability.com. For further information please call More ❯