18 of 18 ETL Jobs in Bristol

practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability ...

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 ...

Data Services (ADF, ADLS, Synapse, Databricks) Excellent SQL skills, with experience in performance tuning and optimisation Solid understanding of data modelling (star schema, medallion, ETL frameworks) Ability to work with complex, inconsistent or legacy data sources Experience building scalable, production-ready pipelines in a cloud environment Azure Data Engineer ...

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. ...

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 ...

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 ...

reliable, accurate and on time – and that issues get unblocked quickly and sensibly. The Role: Own and improve the monthly release run book, monitoring ETL/data pipelines and checks to keep delivery on track. Make light technical fixes (patching existing Python/SQL scripts, restarting/re-running jobs ...

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 Experience working with Infor ...

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 ...

will be important. Responsibilities Lead the migration of legacy databases and systems to modern cloud or on-premise data platforms Design, build and maintain ETL pipelines to ingest and process large datasets from multiple sources Develop efficient processes for data collection, transformation and management Collaborate with technical and operational teams … Experience Experience working as a Data Engineer or Database Engineer in a commercial environment Strong SQL expertise and experience developing data pipelines Experience with ETL frameworks, data modelling and working with complex datasets Familiarity with modern cloud platforms, particularly Microsoft Azure Understanding of database migration, integration and data warehousing best ...

Data Engineer , you will: Design and deploy production-grade data pipelines from ingestion to consumption within modern big data architectures Build scalable ETL workflows and data lake solutions using AWS-native services Engineer high-performance data processing solutions using Python, Java, Scala, Spark and SQL Integrate structured and unstructured data … Data Engineer delivering production data pipelines end-to-end Strong AWS cloud expertise, particularly across data and analytics services Hands-on experience building ETL processes and data lake/warehouse architectures Proficiency in Python, Java, Scala, Spark and SQL Experience processing large-scale structured and unstructured datasets Experience extracting and ...

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 ...

and growing data and AI services. Responsibilities include but not limited to: The set up of data platforms, including data warehouses, lakehouses, databases and ETL tools. Extract, transform & load data from a variety of databases and systems Combine, cleanse and run ‘health checks' on the data Transfer and store data … prepared to complete a SC process Data Engineering experience Significant experience working with large datasets and multiple data feeds Confident in data ELT/ETL, data cleansing, modelling and data visualisation Experienced working with Azure and the Microsoft stack Confident developer of Python and SQL solutions Significant experience with data ...

Responsibilities: Take ownership of the SQL Server estate across a complex operational environment. Lead SQL upgrades, standardisation, and estate simplification . Build and maintain ETL pipelines and improve how data is collected, transformed, and made usable. Support database migration, integration, and data modelling work across legacy and modern systems. Improve … Experience in a Database Engineer, SQL Engineer, or Data Engineer role. Strong SQL Server skills covering administration, optimisation, and performance tuning. Solid experience with ETL, data pipelines, integration, and large datasets . Good understanding of database migration, data warehousing, and data modelling . Exposure to Azure or modern data platforms ...

ensuring performance, reliability, and security. Drive the modernisation of data processes, storage, and reporting capabilities. Streamline data collection, transformation, and governance. Build and maintain ETL pipelines to support analytics and reporting. Work with ops, commercial, and engineering teams to understand data needs and opportunities. Support future data projects including stock … system consolidation and improved analytics. Technical strengths ideally include: Strong SQL Server expertise (administration, performance, optimisation). ETL pipeline development and data modelling experience. Understanding of database migration and integration. Familiarity with cloud concepts (Azure, Fabric, Snowflake etc.) - nice to have, but not essential . Experience improving environments that ...