1 to 25 of 250 Remote ETL Jobs in London

our data solutions are secure, efficient, and optimized. Key Responsibilities: Design and implement data solutions using Azure services, including Azure Databricks, ADF, and Data Lake Storage. Develop and maintain ETL/ELT pipelines to process structured and unstructured data from multiple sources. - Automate loads using Databricks workflows and Jobs Develop, test and build CI/CD pipelines using Azure DevOps More ❯

Jira). • Experience creating BI models and dashboards, ideally in Power BI. • Excellent verbal and written communication skills Technical Skills: • Familiarity with SQL Server. • Advanced SQL scripting. • Familiarity with ETL/ELT tools and experience navigating data pipelines. • Experience using scripting languages (e.g. Python, PowerShell etc.) to extract insights from file-based storage. • Familiarity with Git or other source control More ❯

a few in-person meetings in shared co-working spaces on an ad hoc basis. Role Description We are looking for an SQL Developer (Snowflake), specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. Key Responsibilities … Develop and optimise complex SQL queries , views, and stored procedures in Snowflake . Design and maintain efficient ETL/ELT pipelines using modern data integration platforms. Create and manage Python-based stored procedures in Snowflake to support advanced transformations and automation. Build and maintain Power BI datasets, data models, and semantic models to support business intelligence needs. Work closely with … of data warehousing, dimensional modelling, and ELT best practices. Knowledge of version control and Agile development methodologies. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Snowflake certification (e.g., SnowPro Core) is a strong plus Proficiency in Snowflake for data warehousing, including semantic modelling and Python-based stored procedures. Experience with Azure Data Factory More ❯

offered on an Outside IR35 basis. Key Responsibilities: Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts, and stakeholders to understand business requirements and translate them into technical solutions. Contribute to the … needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield projects. Comfortable working independently in a remote setup. Strong communication and stakeholder engagement skills. Nice to More ❯

offered on an Outside IR35 basis. Key Responsibilities: Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts, and stakeholders to understand business requirements and translate them into technical solutions. Contribute to the … needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield projects. Comfortable working independently in a remote setup. Strong communication and stakeholder engagement skills. Nice to More ❯

offered on an Outside IR35 basis. Key Responsibilities: Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts, and stakeholders to understand business requirements and translate them into technical solutions. Contribute to the … needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield projects. Comfortable working independently in a remote setup. Strong communication and stakeholder engagement skills. Nice to More ❯

following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking). ·Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. ·Experience in other programming languages for data manipulation (e.g., Python, Scala). ·Extensive experience of data engineering and the More ❯

with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and More ❯

with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and More ❯

with data visualization tools such as Looker, ThoughtSpot, or Tableau. Possess highly proficient SQL skills for querying and manipulating large, complex datasets. Exhibit strong experience with data warehousing concepts, ETL/ELT processes, and various database technologies. Show knowledge in a relevant data engineering programming language like Python, Bash, or Django. Hold practical experience working with major cloud platforms, including More ❯

on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical More ❯

data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the Fabric ecosystem. Leverage Fabric’s suite of tools to build dynamic reports, dashboards, and analytical applications. Maintain high standards of data integrity, consistency, and system performance across More ❯

data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the Fabric ecosystem. Leverage Fabric’s suite of tools to build dynamic reports, dashboards, and analytical applications. Maintain high standards of data integrity, consistency, and system performance across More ❯

the table? Comfortable with data visualisation tools (e.g., Looker, ThoughtSpot, Tableau) Excellent SQL skills and a basic understanding of querying and manipulating datasets. Basic understanding of data warehousing concepts, ETL/ELT processes, and database technologies. Exposure to cloud platforms such as GCP, AWS, or Azure through coursework or personal projects. A logical approach to problem-solving and a keen More ❯

Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source systems (e.g., relational databases, APIs, flat files), transform it according to defined business rules and data quality standards, and load it … or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in Alteryx Designer, including the ability to design and implement complex ETL workflows, and optimize performance. •Data Visualization Proficiency: Proficiency in Tableau Desktop, including the ability to create More ❯

Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical More ❯

initiatives. What You’ll Do Integrate new data sources (e.g. D365) into the enterprise data warehouse Design scalable data models and perform source-to-target mapping Build and automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical … documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power Automate, Python or R About You Experienced Data Engineer with strong ETL, SQL, and data modelling skills Proficient in the Microsoft data stack Confident working in Agile teams and regulated environments Strong More ❯

initiatives. What You’ll Do Integrate new data sources (e.g. D365) into the enterprise data warehouse Design scalable data models and perform source-to-target mapping Build and automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical … documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power Automate, Python or R About You Experienced Data Engineer with strong ETL, SQL, and data modelling skills Proficient in the Microsoft data stack Confident working in Agile teams and regulated environments Strong More ❯

agenda, we should discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: 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 ❯

platform. Strong Data Warehouse experience, hands-on experience with designing, building, and managing DW ideally using Kimball methodology. Hands on with Azure tooling, expertise in Azure Data Factory ADF (ETL processes), Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps. Experience in optimizing data loads to ensure reliability, scalability, and high performance, with a focus on reducing processing times … a solid understanding of advanced data technologies and practices. Hands on with Integration such as integrating data from a range of sources, ensuring data accuracy and consistency throughout the ETL process. The ability to work closely with the wider business, stakeholders, and other teams to align data solutions with business objectives. Familiarity with CI/CD pipelines and agile workflows. More ❯

With major transformation initiatives underway, this is an opportunity to have impact from day one while helping shape the future of reporting and analytics. Key Responsibilities: Maintain and extend ETL pipelines and support the firm’s data warehouse infrastructure. Work closely with business teams to understand data and reporting needs. Develop and enhance Power BI dashboards and reporting solutions. Assist … Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated, or data-critical environment preferred — though not essential. More ❯

With major transformation initiatives underway, this is an opportunity to have impact from day one while helping shape the future of reporting and analytics. Key Responsibilities: Maintain and extend ETL pipelines and support the firm’s data warehouse infrastructure. Work closely with business teams to understand data and reporting needs. Develop and enhance Power BI dashboards and reporting solutions. Assist … Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated, or data-critical environment preferred — though not essential. More ❯

Gaming, and TransferGo. Our products are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave and Frost Radar. Our tech stack: Superset and similar data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What … you will be doing: Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs. Ensuring data quality and reliability by implementing data validation, data cleansing, and data quality monitoring processes. Optimising database performance by tuning queries, implementing indexing strategies, and monitoring and analysing system performance metrics. Collaborating with … stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance. About you: Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases. Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts. Proficiency in programming languages commonly used in data engineering, such as Python, Java More ❯

following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the More ❯

following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the More ❯