1 to 25 of 42 ETL Jobs in Surrey

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: 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 ❯

groundwork for insightful, traceable reporting. Responsibilities · You will define and implement scalable data architecture solutions to support financial planning, reporting, and analytics. · You will build, optimize, troubleshoot, and document ETL processes and data flows. · You will write efficient SQL queries for data analysis and pipeline design. · You will support the integration of data from ERP (D365 F&O), HR, and … data engineering, or business intelligence role. · Strong hands-on experience with SQL – ability to write, optimize, and troubleshoot complex queries is essential. · Exposure to data warehouse design principles and ETL frameworks. · Experience with data modeling concepts and building robust data pipelines. · Experience working with ERP systems (ideally Microsoft Dynamics 365 F&O) or other enterprise finance systems is a plus. More ❯

the attached document for the full job description. Person Specification Experience Design and implementation of complex data models for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes Experience in a supervisory role Deep knowledge of NHS data and issues Visualization and report writing skills Performance management experience Experience in change management and delivering successful More ❯

job description. Person Specification Experience Essential MS SQL Server - development Design and implementation of complex data models used for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes used for Business Intelligence and Advanced Analytics Experience in a supervisory role In-depth knowledge of NHS data and issues Visualization and report writing skills Significant experience More ❯

business success through insightful reporting and data-driven decisions. Key Responsibilities: Develop, maintain, and optimize dynamic reports and dashboards using SSRS and Power BI to aid business decision making. Extract, transform, and load (ETL) data from diverse sources with T-SQL, SSIS, and Azure Data Factory Pipelines. Collaborate with business stakeholders to gather requirements and create visually impactful data visualizations. More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

and DevOps practices related to database development. Desirable Skills: Experience working with legal systems and understanding the data requirements within the legal industry. Knowledge of data warehousing concepts and ETL processes. Experience with automation and scripting (e.g., PowerShell) for database management tasks. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). More ❯

skills to engage with stakeholders and the confidence to question stakeholders and present new ideas. Essential Skills - Data Analyst/Engineer: Azure Data Lake Azure Fabric Power BI Python ETL SQL Clear communication skills Desirable Skills - Data Analyst/Engineer: Ability to manipulate data from API DAX Understanding of the Data Lifecyle (Ingestion, Transformation and Consumption) Any related Qualifications If … we will be in touch.Azure/Azure Data Lake/MS Fabric/Azure Fabric/Fabric/Python/SQL/SQL Server/Data Transformation//ETL/Problem Solving/Data Analyst/Data Developer/Power BI/ More ❯

and DevOps practices related to database development. Desirable Skills: Experience working with legal systems and understanding the data requirements within the legal industry. Knowledge of data warehousing concepts and ETL processes. Experience with automation and scripting (e.g., PowerShell) for database management tasks. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). More ❯

and DevOps practices related to database development. Desirable Skills: Experience working with legal systems and understanding the data requirements within the legal industry. Knowledge of data warehousing concepts and ETL processes. Experience with automation and scripting (e.g., PowerShell) for database management tasks. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). More ❯

few-shot learning). • Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. 3. Data & Infrastructure • Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and data lakes/warehouses. • Establish best practices for data labeling, versioning, and governance to ensure high data quality. • Implement ML Ops processes: CI/CD for model More ❯

Languages - C# & .Net, JavaScript, Python etc., authoring and integration with REST and Graph APIs). Database engines/technologies (Synapse, SQL Server, Azure SQL, CosmosDB etc.) Data pipelines and ETL processes using Azure Data Factory, Data Flow, Databricks/Spark (using Python & associated frameworks), Azure storage (data lake, blob) etc. Microsoft Dynamics development, primarily in and integrating with ERP modules … on Azure advancements and industry trends, implementing innovative solutions where applicable. Qualifications and Experience Essential Azure application and integration in solution architectures Database engines/technologies Data pipelines and ETL processes Microsoft Dynamics development Excellent communications skills Project management experience Desirable Previous Automotive experience More ❯

Alongside the huge swathe of batch data that they work with, the team also have a clear business opportunity to work on real-time/streaming projects. Responsibilities Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives. Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high More ❯

be highly proficient with modern Python programming paradigms and tooling. Proficiency in data-centric programming and scripting languages (e.g., Python , SQL , Bash ). Proven experience designing and maintaining scalable ETL/ELT pipelines. Focused, sharp, and results-oriented : You are decisive, work with a high degree of autonomy, and consistently deliver high-quality results. You are quick to understand and More ❯

be highly proficient with modern Python programming paradigms and tooling. Proficiency in data-centric programming and scripting languages (e.g., Python , SQL , Bash ). Proven experience designing and maintaining scalable ETL/ELT pipelines. Focused, sharp, and results-oriented : You are decisive, work with a high degree of autonomy, and consistently deliver high-quality results. You are quick to understand and More ❯

for the Data Analyst to build on their current skill set with plenty of opportunities for progression. Essential Skills - Data Analyst: Azure Data Lake Azure Fabric Power BI Python ETL SQL Clear communication skills Desirable Skills - Data Analyst: Ability to manipulate data from API DAX Understanding of the Data Lifecyle (Ingestion, Transformation and Consumption) Any related Qualifications If you are … we will be in touch.Azure/Azure Data Lake/MS Fabric/Azure Fabric/Fabric/Python/SQL/SQL Server/Data Transformation//ETL/Problem Solving/Data Analyst/Data Developer/Power BI/ More ❯

Azure stack (Functions, APIM, CDN), C# & .NET, JavaScript, Python, and REST/Graph APIs. Work with database technologies like Synapse, SQL Server, Azure SQL, CosmosDB. Create data pipelines and ETL processes using Azure Data Factory, Data Flow, Databricks/Spark, and Azure storage solutions. Develop and integrate Microsoft Dynamics with ERP modules, utilizing Power Platform, Dataverse, C#, .Net, JavaScript, TypeScript … optimization best practices. Stay updated on Azure and industry trends, implementing innovative solutions as applicable. Qualifications and Experience Essential Azure application and integration experience Database technologies Data pipelines and ETL processes Microsoft Dynamics development Excellent communication skills Project management experience Desirable Previous automotive industry experience #J-18808-Ljbffr More ❯

necessary Facilitate the data migration and integration efforts between SAP and the other systems being implemented. Ensuring data governance is followed Conduct data cleansing, mapping, extraction, transformation, and loading (ETL) activities. Qualifications: Proven experience delivering data migration SAP S/4HANA Public Cloud Experience with multi SAP S/4HANA Line-of-Business (LoB) Solutions including Finance, Procurement, Manufacturing, and More ❯

with CI/CD pipelines, version control (e.g., Git), and DevOps tools. Database and Data Management: Optional experience with databases (SQL, NoSQL) and data management techniques. Data Migration and ETL: Experience with data migration, ETL processes, and managing large datasets. Integration Solutions: Experience implementing solutions with integrations involving 3rd party applications in public cloud and on-premises data centers. What More ❯

pressure, and with a sense of ownership and pride in your work Experience: DBA or equivalent experience handling large, varied, and complex data sources and standardizing them through an ETL process Experience working in a procurement department, preferably within the Food or Hospitality industry Proven experience supporting Finance processes (Accounts Payable, Accounts Receivable, and General Ledger processing) About Us: Aramark More ❯

pressure, and with a sense of ownership and pride in your work Experience: DBA or equivalent experience handling large, varied, and complex data sources and standardizing them through an ETL process Experience working in a procurement department, preferably within the Food or Hospitality industry Proven experience supporting Finance processes (Accounts Payable, Accounts Receivable, and General Ledger processing) About Us: Aramark More ❯

role. Strong understanding of data quality concepts, methodologies, and best practices. Proficiency in SQL and data querying. Experience with Snowflake, Airflow, or Matillion is preferred. Knowledge of data integration, ETL processes, and data governance. Understanding of data structures, relational databases, and data modeling. Excellent analytical and communication skills. Familiarity with data privacy and regulatory compliance is a plus. Professional certifications More ❯

SOWs that align with customer needs and business strategies. Cloud Architecture: Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments. Data Engineering: Develop and manage ETL/ELT pipelines, data integration workflows, and implement CDC and delta load design for effective data management. SAP Tools: Lead SAP BW to SAP Datasphere migration strategies and leverage SAP More ❯

SOWs that align with customer needs and business strategies. Cloud Architecture: Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments. Data Engineering: Develop and manage ETL/ELT pipelines, data integration workflows, and implement CDC and delta load design for effective data management. SAP Tools: Lead SAP BW to SAP Datasphere migration strategies and leverage SAP More ❯