226 to 250 of 1,330 ETL Jobs in England

excellent communication skills across all channels and levels of recipients including team members, colleagues, clients at all levels including C suite. Experienced hands-on ETL, Snowflake, CI/CD Pipelines, SQL, Data Quality rules and Data-Readiness design and implementation of data platforms Experience in designing and implementing relational data ...

2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments. Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache ...

monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks. Write and optimise ETL processes and contribute to data modelling for both internal analytics and external‐facing data products. Take work from ambiguous problem statements through design, build and ...

data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master ...

similar automation platforms. BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar. Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency. Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools. So, what’s in it for you? Our people are constantly striving ...

such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding ...

Skills Advanced Expertise in BI tools (e.g., Domo, Sigma, Looker). Cloud Expertise: Strong proficiency in cloud data platforms (Snowflake). Expertise in SQL, ETL/ELT pipelines, data warehousing. Architectural Knowledge: Proficiency in designing for performance, scalability, and security. Software Development Knowledge: Understanding of SDLC, Agile methodologies, and DevOps ...

Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without ...

maintain end-to-end data pipelines using Palantir Foundry (Pipeline Builder, Code Repositories, Data Lineage, Ontology, Workshop, Quiver). Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ...

scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou will also … transformation to curated analytical data products. Provide technical leadership and engineering assurance for data orchestration and transformation set and challenge engineering standards and ensure ETL/ELT solutions are automated, maintainable, observable, appropriately tested and engineered for performance, resilience and reuse. Lead and technically assure analytical data modelling work directly ...

reports and dashboards to monitor the performance of connected store network operations, including media and sales performance reports. Data Management: Establish and maintain appropriate ETL (Extract, Transform, Load) processes to integrate data from various internal and external sources. Ensure the accuracy, consistency, and reliability of data by implementing rigorous data … pipelines to facilitate efficient data flow and processing. Manage and organise large datasets to support business intelligence reporting and analysis. Continuously monitor and refine ETL processes to adapt to changing data sources and business requirements. Collaborate with data engineers and other stakeholders to ensure seamless data integration and accessibility. ...

enterprise-scale data engineering solutions. Strong SQL and data modelling expertise. Experience with cloud data platforms, with Azure experience preferred. Experience building ELT/ETL pipelines and data integration solutions. Strong software engineering practices, including source control, testing, CI/CD and automation. Experience with big data, streaming and modern … Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square ...

command of the modern data stack, including warehouses such as Snowflake, BigQuery or Databricks, transformation in dbt or an equivalent, the trade-offs between ETL and ELT, and the unit economics that govern both, from warehouse compute to ingestion pricing models. Direct experience with BI and serving tools such ...

extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC ...

communication skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadershipDesirable Skills (Nice-to-Haves)Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly ...

data manipulation using SQL, Spark, pandas, or similar. Proficiency in building secure and compliant data pipelines in Microsoft Azure environments Experience within data warehousing, ETL, processing, querying, and management. Ability to write code with a focus on testability Experience building data models in business intelligence tools and collaborating ...

faster and deliver smarter insights. Key Responsibilities Design, build, and optimise data pipelines using dbt, Python, and SQL Implement and maintain scalable ELT/ETL frameworks that power analytics and ML systems Collaborate with Data Science and Platform teams to ensure robust and reliable model deployment pipelines Own the reliability ...

skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadership. Desirable Skills (Nice-to-Haves) Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly ...

database technologies e.g. Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB Databricks and Azure DevOps ELT/ETL tools such as Azure Data Factory and Databricks Over time you will help to build and configure data ingestion methods from APIs, flat files, streaming, public data ...

cloud, and BI teams to ensure reliable data pipelines, robust dashboards, and productive CI/CD for analytics deployments. The role emphasizes data modelling, ETL/ELT, monitoring, and collaboration with developers and business stakeholders to deliver #J-18808-Ljbffr ...

roadmap with Jack Morton team members. This role requires strong experience in the following: Python SQL Data Modeling Data Warehousing (Snowflake experience is desirable) ETL or ELT development API Integrations Batch and event-driven pipelines. The applicant should understand: Semantic indexing Retrieval-Augmented Generation (RAG) Chunking strategies Document classification Security ...

looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda and Glue Familiarity with Git and infrastructure-as-code tools such ...

excellence. Essential Skills & Experience Strong Python software engineering capabilities Hands-on Azure cloud and data engineering experience Experience building and maintaining data pipelines/ETL solutions Strong SQL skills Terraform and Infrastructure as Code (IaC) CI/CD , Git, and automation tooling Linux administration and scripting (Bash and/ ...

Azure Data Lake Drive data quality, governance, and performance Collaborate with global teams in an agile environment What you'll bring: Strong SQL + ETL/ELT experience Knowledge of Python/T-SQL Exposure to DBT Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/ ...

within an Azure environment. Key Skills & Experience Required Strong hands-on experience with Python, PySpark , and SQL/Spark SQL for building production-grade ETL/ELT pipelines Solid knowledge of Apache Spark , including DataFrames, joins, aggregations, partitioning, caching, and performance optimisation Experience working within Azure Databricks , including clusters ...