176 to 200 of 343 ETL Jobs in the UK

making across the organisation. The following skills/experience is essential: Strong technical experience on Transaction Monitoring systems (NICE Actimize, etc) Solid experience in ETL, data extraction and analysis using SQL. Good understanding of Data warehousing environments. Previous experience or desire to manage a small team. Financial Services background Excellent ...

Must Have Strong hands-on Python development , particularly scripting and automation Strong REST API development/integration , including authentication, sessions, retries and exception handling ETL/data pipeline development experience Experience automating workflows, triggering jobs, monitoring status and handling outputs programmatically Experience working in regulated environments Nice to Have Data ...

expertise in business rules, scripting, cube configuration, and reporting Solid SQL skills and experience working with financial data models Experience supporting data integrations and ETL processes Background acting as a technical lead or senior OneStream developer Strong communication skills with the ability to bridge finance and technology teams Please only ...

lineage Metadata management Authoritative source identification Integration Experience working with: Identity and Access Management platforms Endpoint management tools Asset Management systems Enterprise integrations APIs ETL processes ...

with GIS architecture, enterprise GIS solutions, geospatial applications, spatial databases, metadata, data governance, cartography, spatial analytics, location intelligence, mapping, dashboards, reporting, APIs, cloud services, ETL/ELT processes, and enterprise-scale databases (Microsoft SQL Server, Oracle, PostGIS, or MySQL). • Experience with GIS application development, configuration, system integration, automation workflows ...

maintenance of legacy applications and infrastructure CI/CD pipeline development and support Automated testing and code refactoring Nginx, Apache Tomcat and HTTP services ETL processes Containerisation and virtualisation (Docker, VMware) Elasticsearch administration and support Oracle 11 administration including RAC, RMAN and Partitioning Experience with auditing and protective monitoring integrations ...

Analytics - Data Collection & Validation Preferred Skills - The following technical competencies are considered advantageous: - System Administration & Configuration - Metadata & Data Model Management - Dataset & Data Source Configuration - ETL Development & Troubleshooting - SQL (Oracle and/or SAP HANA) - Special Methods & Custom Development - Report & Matrix Development - Workflow & Security Configuration - Release & Environment Management Basic knowledge ...

lineage Metadata management Authoritative source identification Integration Experience working with: Identity and Access Management platforms Endpoint management tools Asset Management systems Enterprise integrations APIs ETL processes Experience Required Essential: Significant experience delivering enterprise-scale ServiceNow architecture Proven CMDB transformation and implementation experience Proven CSDM transformation and implementation experience Experience designing ...

Experience within mature B2B SaaS environments Deep knowledge of cloud architecture (ideally AWS) Experience with microservices, event-driven systems Strong understanding of OLAP, OLTP, ETL & data warehousing DevOps-first mindset Excellent stakeholder engagement skills Interested? If you're an Architect who wants real influence in a scaling SaaS environment - without ...

reporting, analysis and business intelligence tools Advanced SQL and relational database knowledge, including data extraction and quality management Experience working with Data Warehouse and ETL processes, alongside formats such as CSV, JSON and Parquet Excellent stakeholder management skills with the ability to influence decision-making at all levels ...

Engineer (tech lead) - hands on Team Leader is required by a FTSE100 employer in London. Tech stack - AWS, GCP, Azure, Snowflake, Python, ELT/ETL, SQL, RAID Logs. £800.00 per day + ...

scripts for importing and exporting data into enterprise applications, maintaining the integrity of the data across the applications Use enterprise report writing tools to extract data and share information for automated reporting in compliance with regulatory guidelines Always strive to meet corporate goals and look for opportunities to use technology … scalable and maintainable Design, implement, and continuously expand data acquisition by performing extraction, transformation, and loading activities Build, debug, monitor and troubleshoot databases and ETL processes to ensure optimal performance, reliability, and integrity Design, develop and maintain data stores (data warehouses, data marts and related information repositories) to support organisational ...

integrations, pipelines and cloud solutions supporting BI, research and wider business analytics. What you'll be doing Build and maintain Python-based data pipelines, ETL/ELT and integrations Design scalable data solutions using Azure and cloud technologies Develop integrations using APIs and structured/semi-structured data Build automated … compliance requirements What we're looking for Strong commercial Python development experience, ideally within Data Engineering Strong SQL and experience building data pipelines/ETL/integrations Good experience with Microsoft Azure Experience working with APIs, JSON/XML and multiple data sources Understanding of batch, scheduled and/ ...

develop and optimise its cloud-based data platform. Reporting into the Head of Data , you'll be responsible for building scalable data solutions, developing ETL/ELT pipelines, enhancing enterprise reporting, and working closely with stakeholders to deliver robust analytics across the business. Requirements: Strong SQL experience (Essential) Microsoft Fabric … experience (Essential) Azure SQL Server Azure Data Factory (ADF) Azure Synapse ETL/ELT pipeline development Python Azure DevOps (CI/CD) Git Power BI or similar BI tools Experience designing and maintaining cloud-based data platforms Nice to have and will make you stand out: Data modelling (Star/ ...

engineering solutions that reduce manual processes, improve data quality, and enable self-service analytics at scale. You will have strong experience in data architecture, ETL development, and modern data warehousing practices, including the application of Kimball methodology and dimensional modelling, alongside a proven track record of building reliable, high-performance … delivering scalable data solutions in a business environment. Strong experience with SQL and transformation logic in a data warehousing environment. Experience designing and maintaining ETL pipelines and data integration processes. Strong experience of Kimball data modelling techniques (e.g. star schema, dimensional modelling). Experience working within a Microsoft data stack ...

modern SAS platform. This is an opportunity to work on a complex, large-scale data transformation programme, integrating multiple data sources and building robust ETL solutions that enable advanced analytics and risk modelling. The Role As a Data Engineer, you'll be responsible for designing, building and deploying scalable data … drive DevOps best practices while ensuring data quality, governance and security remain at the forefront. Key Responsibilities Design, develop and deploy data integration and ETL solutions. Build scalable data pipelines supporting analytics and business intelligence platforms. Develop solutions using Pentaho, Talend, Denodo and SAS technologies. Collaborate with cross-functional teams ...

data analysts, architects, and business stakeholders to deliver high-quality, governed data products. What you'll be doing Designing and maintaining scalable ELT/ETL pipelines using Azure Data Factory and Microsoft Fabric pipelines Implementing medallion architecture (Bronze/Silver/Gold) across the data platform Building reliable ingestion from … time data flows Contributing to infrastructure-as-code and environment provisioning in Azure What you'll bring Solid hands-on data engineering experience - pipelines, ETL/ELT, and data modelling Strong Azure Data Factory experience Experience with, or strong interest in, Microsoft Fabric (lakehouse and pipeline capabilities) Practical understanding ...

development skills and experience working with relational databases. Experience with Snowflake, Oracle, SQL Server or similar enterprise database technologies. Experience designing, developing and supporting ETL/ELT data pipelines. Hands-on experience with dbt and/or Apache Airflow . Strong understanding of data warehousing concepts and best practices. Experience … work independently. Strong communication skills with the ability to engage technical and non-technical stakeholders. Desirable Criteria: Experience migrating data solutions from legacy ETL tools into modern cloud platforms. Knowledge of Matillion . Experience working with Amazon S3 and cloud-based data ecosystems. Financial Services, Wealth Management or Investment Management ...

support data governance best practices. Work with engineering teams to determine whether business metrics should be calculated within Power BI or upstream within the ETL platform. Collaborate with Business Analysts, Data Engineers and senior stakeholders to deliver high-quality reporting solutions. Support the transition of transformation deliverables into a sustainable … preferred). Strong understanding of dimensional modelling and star schema design. Experience developing high-performance enterprise reporting solutions. Strong understanding of ETL processes and data warehousing concepts. Experience integrating multiple enterprise data sources. Excellent communication and stakeholder engagement skills. Desirable Databricks experience. Azure Data Factory, Synapse or Azure SQL. Microsoft ...

business. ROLES AND RESPONSIBILITIES: The Senior Analytics Engineer will: Develop, maintain, and enhance cloud-based data platforms and analytics solutions Design and build scalable ETL and ELT pipelines to support reporting and data products Work closely with stakeholders to translate business requirements into technical solutions Develop and optimise data warehouses … skills and experience with CI/CD processes and Azure DevOps Strong Python scripting capabilities for automation, orchestration, and pipeline optimisation Experience working with ETL and ELT frameworks and data management best practices Knowledge of data security, governance, and regulatory requirements Experience with analytics and visualisation tools such as Power ...

have genuine ownership, influence over technical decisions, and exposure to a modern cloud data stack. Key Responsibilities Design, build and maintain scalable ETL/ELT data pipelines across multiple data sources Develop and optimise cloud-based data platforms to support analytics and operational reporting Build robust data models and transformation … within the data team Required Skills & Experience 3+ years' commercial experience as a Data Engineer Strong Python and SQL skills Experience building and maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using ...

grows, but the initial focus is on building a scalable, high-quality data platform from the ground up. The Role Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles Integrate data … PySpark experience Proficiency in Python for data processing and API integration Experience building Power BI models and dashboards for business reporting Strong understanding of ETL/ELT design and data modelling principles Experience integrating third-party data via REST APIs Knowledge of data quality, monitoring, and governance practices Experience using ...

optimize DAX measures for business metrics Working with stakeholders to understand business requirements Training non-technical uses how to use and develop PowerBI Support ETL, common data structures and business intelligence architectures. Operate in a support capacity to the business, troubleshooting issues with data reporting. Assist other members … analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Role Competencies Core Business Competencies Collaboration: Builds positive relationships and works inclusively with others to achieve shared goals. Communication: Communicates clearly, openly and respectfully, ensuring ...

objects that link project outputs to the organisations strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery of the lifecycle from data ingestion (ETL/ELT) to front-end visualization. Business Systems Analysis: Ability to map technical project metadata to financial value metrics. Stakeholder Communication: Experience in translating technical … digital transformation and multiple technology architecture domais. Advanced proficiency in Power BI and/or Microsoft Fabric to create professionalgrade executive dashboards. Experience with ETL tools, scripts, and data storage methods (Data Warehousing/Data Lakes) used for performance analytics. Experience with cloud technologies such as SaaS, IaaS, PaaS etc. ...

opportunity to: Work with stakeholders to understand business problems and demonstrate a clear picture of requirements. Work on data flows to extract, transform and load data. Demonstrate core technical skills around SQL, Python or similar programming languages. Demonstrate fundamental skills in data management, orchestration, security and data modelling. … host data infrastructure and store data. Experience youll need as a Data Engineer: Previous experience maintaining, improving and building data flows to extract transform and load data. Experienced in SQL, Python or similar programming languages. Experience following software engineering and DataOps best practices. Ability to collaborate effectively and work with ...