1 to 25 of 33 ETL Jobs in the South West

automated data pipelines and infrastructure across BrisDocs clinical, operational and back-office functions. To ensure data pipelines perform high quality extraction, transformation and loading (ETL) processes that prevent any data quality and record matching issues or overcome them for legacy data systems. To deliver innovative data solutions that migrate and ...

and optimisation At least one data engineering programming language (e.g., Python) Data modelling (dimensional, star schema, analytics-optimised models) Building and maintaining production-grade ETL/ELT pipelines Orchestration and scheduling tools Version control (e.g., Git) CI/CD principles for data workloads Environment separation (Dev/Test/Prod ...

. Understanding of ML architectures, hyperparameter tuning, and performance optimisation. Experience with MLOps tools and CI/CD pipelines. Familiarity with data engineering concepts (ETL, data pipelines, SQL). Ability to analyse complex data and communicate insights effectively. Strong problem-solving skills and attention to detail. Excellent collaboration and stakeholder ...

PyTorch) Understanding of ML architectures, hyperparameter tuning, and performance optimisation Experience with MLOps tools and CI/CD pipelines Familiarity with data engineering concepts (ETL, data pipelines, SQL) Ability to analyse complex data and communicate insights effectively Strong problem-solving skills and attention to detail Excellent collaboration and stakeholder engagement ...

exposing data. Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability ...

business stakeholders to define data requirements Optimize data structures for performance, scalability, and cost-efficiency Build and maintain data pipelines and transformations (ELT/ETL) Ensure data quality, integrity, and governance standards are met Document data models, definitions, and data flows Skills/Experience An experienced Data Modeller/Data ...

design, performance optimisation, and modelling best practices. • Hands-on experience designing and implementing Power BI datasets, dashboards, and paginated reports. • Proven track record delivering ETL pipelines, data warehousing, and modern visualisation platforms end-to-end. • Strong commercial acumen - the ability to translate data into decisions that drive growth, not just ...

models to understand how data is structured and used. Help design, build, and maintain data pipelines from structured, semi structured, and unstructured sources. Support ETL processes: clean, validate, and transform data for downstream use. Monitor pipelines, investigate issues, identify root causes, and support fixes. Contribute to data quality frameworks (accuracy ...

mind. A passion for learning and experimenting with emerging technologies and sharing this knowledge with others. Experience with data engineering and pipelines, including ETL processes and working with both traditional relational databases and modern vector databases. An understanding of Site Reliability Engineering best practices and Platforms/DevOps best practices. ...

design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making. What Youll Do: Build, test, and maintain ETL/ELT pipelines for structured and unstructured data. Design and optimise data warehouses, lakes, and cloud-native platforms . Implement monitoring, security, and compliance frameworks … with modern technologies, including cloud platforms, orchestration tools, and streaming frameworks . What Were Looking For: Strong SQL & Python skills. Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory). Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/ ...

looking for: Strong experience with SQL databases such as MS SQL or Oracle Experience with NoSQL technologies like MongoDB or Neo4j Solid background in ETL, data processing and integration Python development experience Experience working in on-prem or hybrid environments (not purely cloud-based) Understanding of big data technologies such ...

operate confidently in technical discussions. Hands-on experience delivering developments across modern data platforms, including exposure to: Data Warehouses Data virtualisation tools (e.g. Denodo) ETL/ELT tooling (e.g. Talend or similar) Cloud-based data environments Solid understanding of data architecture principles, including data modelling concepts, data pipelines, metadata, lineage ...

Work with SQL and raw datasets to build scalable data models Establish data governance, KPI frameworks, and reporting standards Develop and optimise data pipelines, ETL processes, and reporting performance Provide actionable insights to improve operational efficiency and performance Automate reporting processes and improve data accessibility Partner with senior stakeholders across … ability to work both strategically and hands-on Excellent stakeholder engagement and communication skills Desirable Experience with ERP systems and data integration Knowledge of ETL and data warehousing Advanced DAX Exposure to Azure (Synapse, Azure SQL, Data Lakes) Experience with Python or Microsoft BI stack tools Track record of improving ...

preferred) Experience designing data pipelines and backend systems Nice to Have Experience with Django Experience with GeoServer Knowledge of spatial projections Experience with ETL pipelines or data lakes Experience working with large geospatial datasets What You'll Work With Python Django AWS PostgreSQL GDAL/Rasterio/Shapely Geospatial datasets ...

stakeholders across multiple teams. Key Responsibilities: Collaborate with engineers across legacy systems to understand available data and its structure. Design queries and scripts to extract, transform, and migrate data into new platforms. Partner with senior data leadership to define cold-storage solutions for regulatory data retention. Work with solution architects … design migration-day data processes for partner onboarding. Build and maintain ETL pipelines and workflow automation using Snowflake and Apache Airflow. Document processes, learnings, and development work using version control best practices. Implement robust data quality checks and reconciliation processes throughout pipelines. Collaborate with platform and infrastructure teams on security ...

contracts for data arriving from the landing zone into the Bronze layer, working in partnership with the Development and Application Management team.Design and optimise ETL/ELT pipeline frameworks using Databricks, Delta Lake and Azure Data Factory. * Ensure Silver and Gold layer data products are fit for purpose for analytics … ensuring compliance with industry standards. Deep expertise in data modelling - conceptual, logical and physical. Data warehousing and data lake architecture for high-performance analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and ...

problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive ...

standards, mentoring developers and ensuring that data solutions are scalable, reliable and aligned with enterprise data governance practices. Responsibilities Design, build and maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation … Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models and reports What's on Offer Salary ...

operate at a senior level, helping steer architectural direction while engaging both technical and business stakeholders. 🧰 Tech Environment AWS (primary cloud platform) Snowflake ETL tools and data platforms AWS native services (including resilience tooling such as AWS Resilience Hub) Exposure to Azure environments ✅ What We’re Looking For Proven experience ...

Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge … data transformation and ETL pipelines and APIs. Security cleared or ability to obtain (SC or above). Desirable Skills and Experience: Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines ...

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, Team Leadership Who Are We? Our client is a trusted and growing supplier to the National Security sector … systems with analytics and business intelligence platforms. Responsibilities include: Design, build, and maintain data pipelines, including ingestion, orchestration, and enrichment Develop data-streaming and ETL solutions (e.g. NiFi) Model databases and integrate data from diverse sources Ensure data quality, consistency, and security Monitor and optimise system performance Write clean, secure ...

interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Optimise system performance and reliability for high-volume data operations across distributed environments. • Implement secure, compliant and scalable … e.g. Docker compose, Swarm or Kubernetes) in a Linux-based environment. • Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows. • Familiarity with ETL processes, data warehousing and distributed systems. • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data ...

Lead Infrastructure Architect, AWS, ETL, hybrid. Lead Infrastructure Architect required for a leading financial services company. The successful candidate will act as the lead architect for a Technology Operations Resiliency and Recovery Testing Programme. The role is responsible for reviewing, modernising, and embedding resiliency standards, as well as designing improvements ...

designing, building, and maintaining scalable data solutions to support business intelligence and reporting needs. Key Responsibilities Design, develop, and maintain robust ETL processes Build and optimise data pipelines for efficient data integration Write and optimise complex SQL queries, stored procedures, and database objects Develop and manage SSIS packages Create and … 5+ years’ experience in a Data Engineering or similar role Strong proficiency in SQL , including performance tuning and optimisation Hands-on experience with ETL development and data integration Proven experience with SSIS (SQL Server Integration Services) Experience developing reports using SSRS (SQL Server Reporting Services Solid understanding of data warehousing ...

Working With You’ll be immersed in a modern Microsoft data ecosystem, including: Azure SQL & broader Azure data services Azure Data Factory & ETL/ELT pipelines Power BI and downstream analytics use cases Data modelling across warehouse/lakehouse environments Integration of multiple data sources (APIs, databases, cloud storage) Performance … keen to hear from people who bring a mix of the following: Strong SQL and data modelling expertise Proven experience building and maintaining ETL/ELT pipelines Hands-on experience with the Microsoft Azure data platform Familiarity with tools such as Azure Data Factory, Synapse, or similar Experience integrating data ...