1 to 25 of 164 Remote/Hybrid ETL Jobs in England

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 ...

analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL/ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with ...

Factory and Databricks Experience building dashboards and reports using Power BI or Tableau Solid understanding of data modelling and data structures Experience working with ETL/ELT processes Proficiency in Python or R for data analysis Strong analytical and problem-solving skills Ability to work with stakeholders and translate business ...

considerations and enterprise data governance frameworks. As part of your duties, you will be responsible for: Design, build and maintain scalable data pipelines and ETL/ELT processes using modern cloud data engineering practices Develop and optimise data lake and data warehouse architectures on AWS Ensure high standards of data ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

fundamentals in data engineering and proven experience delivering solutions within complex environments. Essential Skills and Experience: Strong SQL and data modelling skills Experience with ETL/ELT tools such as Informatica, Talend, Pentaho, AWS Glue, or similar Familiarity with data platforms such as Oracle, Cloudera, or enterprise data warehouses Proficiency ...

innovation. They're investing in data to support smarter decision-making as they continue to scale. Description Databricks experience essential Design, build, and maintain ETL/ELT data pipelines supporting People Analytics use cases. Develop scalable models and schemas to integrate data from HRIS, ATS, learning platforms, engagement tools, and ...

and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources. Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services. Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases. Designing storage ...

teams o Experience operating within agile delivery environments Data & Integration Expertise o Strong understanding of integration design patterns (REST APIs, message queues, eventdriven integration, ETL, batch processing). o Experience working with master data domains (Party, Facility, Instrument, Product, Country, Sector, Ratings). Technology & Platform Knowledge o Hands-on architectural ...

Azure Data Factory, Power BI , and Databricks , with Python as the primary coding language . This role requires hands-on experience with database design, ETL development, data integration, and a passion for data quality and governance. 🗓 So, what will your day-to-day look like? Data Best Practices : Ensure best … level designs and work packages and supporting the production of analytical outputs , operational insights and visualisations to be utilised by the investment team. ETL Development : Build and manage high-quality, secure, and governed ETL processes using on-premise and cloud-based data sources. Data Quality & Monitoring: Design data observability and ...

collaborative environment where data is seen as a strategic asset and where new ideas are encouraged. The Role • Develop and maintain scalable ELT and ETL pipelines using Azure Data Factory and Databricks. • Build and optimise transformation logic in Databricks using Python, SQL and Spark. • Model datasets across Bronze, Silver and ...

focused on building a trusted, well-governed, and scalable data environment. The Role * Own the design, build, and optimisation of cloud-based ELT and ETL pipelines. * Shape the data warehouse architecture and ensure data is prepared for analytics, reporting, and operational use. * Improve existing processes and contribute to a modernised ...

focused on building a trusted, well-governed, and scalable data environment. The Role * Own the design, build, and optimisation of cloud-based ELT and ETL pipelines. * Shape the data warehouse architecture and ensure data is prepared for analytics, reporting, and operational use. * Improve existing processes and contribute to a modernised ...

Revit, Revit API, pyRevit, Rhino, Grasshopper, IES VE (and its Python API), BIM data standards (IFC, COBie) Cloud & Infrastructure: AWS/Azure, Git, Ansible Extract, Transform and Load (ETL) Responsibilities Key responsibilities of the role In addition to the core technology listed above, this role will involve: Designing and implementing ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

. The right person will be comfortable sitting between data engineering and security/IAM teams . What youll be doing Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks and SQL Server Develop and support data models, reporting layers and curated datasets for IAM/access ...

and Experience You will bring • Strong commercial experience using Power BI, including report development, DAX and data modelling • Strong SQL skills • Experience working with ETL processes and data pipelines • Experience working across the full BI lifecycle and delivering complex BI solutions • Ability to work with senior stakeholders and translate business ...

data function, they offer a place where you can make meaningful technical impact. The Role * Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment. * Build well structured data models and curated layers to support reporting and analytics. * Improve data quality, observability, governance, and ...

helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimise data models for analytics and reporting. • Work closely with software engineers, analysts, and stakeholders. • Ensure data quality, reliability, and performance. • Implement ...

application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

with programme standards. Skills & Experience Essential: Proven experience delivering IT or ERP-related projects using Agile, Waterfall or hybrid methodologies. Hands-on experience with ETL processes within major ERP implementations (e.g., Oracle, SAP, Fusion). Strong analytical and problem-solving capability with excellent attention to detail. Expertise in relational 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 ...

strategic goals. What will make you successful? Extensive experience as an Enterprise Data Architect in a complex, regulated environment. Deep knowledge of data modelling, ETL, data warehousing, and cloud platforms (Azure, AWS, or GCP). Strong understanding of data governance, MDM, and regulatory compliance. Familiarity with aviation systems (e.g., AODB ...