176 to 200 of 402 ETL Jobs in the UK

data-driven decision making Strong SQL and Python skills Knowledge of analytics platforms such as Google Analytics or similar tools Understanding of data modelling, ETL processes, and data engineering fundamentals Ability to communicate complex analytical concepts clearly to technical and non-technical stakeholders Experience influencing senior decision-makers through insight ...

Data & Cloud SQL/NoSQL databases—Snowflake; cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools—Collibra, Alation, Informatica ETL pipelines and data lineage concepts SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access Management basics (IAM, RBAC) Encryption, tokenization, data masking techniques Python ...

documentation. Understanding of data governance and compliance requirements. Knowledge of supply chain data structures and PLM systems highly desirable. Experience with data mapping and ETL processes. Proficiency in data analysis and ability to assess data quality and completeness. Personal attributes and qualities Client-focused mindset with strong relationship-building capabilities. ...

OpenData and integration of third‐party reference data Certification from a CRM or MDM software vendor Hands‐on experience with data warehousing concepts, SQL, ETL tools, or web services technologies Exposure to integration frameworks, user authentication methods, or batch data processes Additional European language(s) Perks & Benefits Annual allocations ...

with enterprise applications, including relational databases (SQL Server/Oracle), data warehouses, OMS/EMS, risk, and portfolio systems. Strong technical skills: SQL, ETL, data modelling, stored procedures, data ingestion, messaging systems. Excellent communication skills: capable of consulting with business stakeholders and translating business requirements into robust technical specifications. Experience ...

production‐grade agentic RAG systems that serve the entire firm. What You’ll Do Data Management Perform data availability/quality assessments Develop comprehensive ETL processes Data Analysis Perform exploratory data analysis and render key insights through evidenced results Execute data quality assessments Illustrate material understandings through coherent data visualizations ...

deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes. Improving and adapting our data infrastructure and code base as we scale – including collaboration, security, scalability, efficiency, automation and ...

track record of building trust with technical teams through partnership, clarity, and disciplined prioritization. We’d love to see: Experience with data platforms, ETL/ELT systems, data contracts, schema governance, data quality tooling, metadata management, or lineage platforms. Familiarity with process analytics, statistical process control, workflow simulation, experimentation ...

including Azure Databricks, Azure Data Factory, Azure Synapse Analytics and Azure SQL. Also requires knowledge of Azure DevOps CI/CD pipelines. Data Modelling & ETL/ELT: Experience of implementing robust data models and developing efficient ETL/ELT processes using SQL and Azure Data Factory/Dataflow Gen2. Power ...

Microsoft's fastest-growing data platforms, this is a fantastic opportunity. You Will Work With Designing, building and maintaining scalable data pipelines. Developing ETL/ELT processes to ingest and transform data from multiple sources. Apache Airflow for workflow orchestration, scheduling and automation. Azure SQL and cloud-based data platforms. … Excellent opportunity for a Data Engineer looking to develop towards a more senior position over time. Key Experience Previous experience in a Data Engineer, ETL Developer or similar role. Strong SQL skills, ideally within Azure SQL or SQL Server environments. Experience building, maintaining and optimising data pipelines. Knowledge of ETL ...

should have a strong interest in data processing, databases, cloud technologies, and data-driven decision-making. Key Responsibilities Assist in designing, developing, and maintaining ETL/ELT data pipelines. Collect, clean, transform, and validate large datasets from multiple sources. Support the development and optimization of data warehouses and data lakes. … field. Basic understanding of SQL and relational databases. Knowledge of Python for data processing and automation. Familiarity with data structures and algorithms. Understanding of ETL concepts and data modeling principles. Knowledge of Git/GitHub version control. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Preferred Skills ...

business priorities, with a strong focus on delivery practices and data governance. Key Responsibilities Delivery Leadership · Lead end-to-end delivery of data initiatives (ETL/ELT pipelines, data models, dashboards, reporting products) · Own delivery plans, milestones, RAID logs, and dependencies across multiple squads · Ensure on-time, in-scope delivery … solutions · Experience managing multiple workstreams and dependencies Desirable · Desirable of AWS Snowflake · Exposure to cloud platforms (Azure, AWS, or GCP) · Understanding of ETL tools · Experience with data governance frameworks · Knowledge of BI tools (Power BI, Tableau, Looker) · Experience working in Agile environments (Scrum/Kanban) Key Behaviours · Strong ownership and ...

and high-performing environment. Key responsibilities include: Designing and building enterprise-scale Microsoft Fabric solutions Creating Lakehouses, Data Warehouses and Semantic Models Developing robust ETL/ELT pipelines and real-time data integrations Designing and managing the OneLake architecture Establishing data governance, security and access controls Supporting Power BI, self … Microsoft Fabric expertise (Lakehouse, Warehouse, Pipelines, Notebooks) OneLake architecture and management Advanced SQL/T-SQL PySpark and Spark optimisation Data warehousing, modelling and ETL/ELT development Power BI semantic modelling Experience delivering enterprise cloud data platforms Experience integrating multiple business systems Strong stakeholder engagement and communication skills Ability ...

business-critical data initiatives within a complex global environment. Description Design, build and maintain scalable data pipelines using Python and Databricks Develop and optimise ETL/ELT processes leveraging Spark and Delta Lake Create robust data models and data architectures within modern Lakehouse environments Implement and manage data workflows across … Proven experience with Databricks, including notebooks, workflows, jobs and Delta Lake Strong knowledge of Apache Spark/PySpark Experience designing and delivering large-scale ETL/ELT pipelines Advanced SQL skills and experience with relational databases Experience working with cloud technologies such as AWS, Azure or GCP Knowledge of modern ...

business scales. Responsibilities: Design, build, and deliver scalable cloud-based data platforms and data engineering solutions. Develop robust, high-performance data pipelines and modern ETL/ELT frameworks. Contribute to the architecture and technical design of secure, scalable, and resilient data platforms. Build and optimise cloud-native data solutions across … architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including optimisation and performance tuning. Experience building modern ETL/ELT pipelines and distributed data processing solutions. Strong understanding of data warehousing, data modelling, and cloud-native architectures. Experience working with Infrastructure as Code ...

both greenfield initiatives and the enhancement of existing data capabilities. Key Responsibilities Design, build and maintain a modern cloud-based data platform. Develop scalable ETL/ELT pipelines to integrate data from multiple operational systems, ERP platforms and high-volume transactional sources. Build reliable, high-performance data solutions for reporting … both relational and NoSQL databases. Experience building cloud-based data platforms using Azure, AWS, GCP or similar. Strong Python experience. Solid understanding of ETL/ELT processes and modern data warehousing principles. Experience with dimensional modelling, data governance and data architecture. Experience with Power BI and DAX. Experience integrating ...

clear, actionable insights for clients. Guide teams in data modelling and transformation efforts, ensuring the development of optimised data architectures, including the design of ETL/ELT pipelines. Mentor and guide junior team members, sharing knowledge and best practices to support their professional development. Qualifications 10+ years of experience designing … Databricks. Expertise in data visualisation and analytics using Power BI, QlikView or Tableau. Strong experience in data modelling and transformation, including the design of ETL/ELT processes and data warehousing solutions. Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration ...

from key business systems while supporting a reliable "single version of the truth" for reporting and analytics;- Design and deploy secure, scalable ELT or ETL pipelines using Databricks (Unity Catalog), Delta Lake, and Azure Data Lake Storage (ADLS);- Implement shift-left security principles within the data ingestion layer, including automated … just maintenance of existing).- Delivered a Delta Lakehouse, Medallion Architecture, or similar curated data layering approach.- Created end-to-end ELT/ETL pipelines using Databricks, Spark, Azure DataFactory, or equivalent tooling.- Embedded security controls into pipelines (e.g., secure credential handling, encryption, RBAC, ACLs).- Worked with CI/ ...

strengthen collaboration.**WORK EXPERIENCE**Essential* Advanced proficiency in databases - SQL Server or Snowflake* Advanced experience with low-code/no-code data engineering/ETL tool, preferably Markit EDM (v19.2 or above), however similar tools such as Informatica Power Centre may be acceptable* Knowledge of the IT infrastructure (for example … Automation* Scripting Languages (Python, Powershell)* Reporting tools (Power BI, SSRS or Tableau)* Microsoft Fabric/Data Engineer – Modern Data Architectures e.g lakehouse, data mesh* ETL/ELT Tools (dbt, Databricks)* Source Control (GitHub, Tortoise SVN)* Batch Scheduling (Control-M, Autosys)* CI/CDEducation/Qualifications:* Degree educated and/ ...

stakeholders to ensure successful delivery. Follow governance, security, and quality standards throughout project delivery. Your Skills: Understanding of Oracle Data Integration concepts. Knowledge of ETL (Extract, Transform, Load) processes and data integration practices. Strong analytical and problem-solving capabilities. Ability to work effectively within a team environment. Good communication and ...

stakeholders to ensure successful delivery. Follow governance, security, and quality standards throughout project delivery. Your Skills: Understanding of Oracle Data Integration concepts. Knowledge of ETL (Extract, Transform, Load) processes and data integration practices. Strong analytical and problem-solving capabilities. Ability to work effectively within a team environment. Good communication and ...

experience building production AI applications in a cloud environment Hands on expertise with LLMs, prompt engineering, and agent based workflows Data engineering capability, including ETL processes, orchestration, and working with large datasets Ability to design and deploy scalable, reliable systems Experience working with modern AI tooling and development workflows Strong ...

scalable data solutions using Databricks. Collaborate with stakeholders to understand business needs and translate them into data requirements. Integrate new data sources and manage ETL processes. Optimise and enhance the performance of complex SQL queries. Role requirements: Extensive experience with SQL and Databricks, pivotal for managing large datasets and data ...

Experience handling large‐scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestration Data Engineering: Expertise with data pipelines, ETL systems, and large‐scale data processing frameworks Systems-Level Programming: Experience with low‐level systems programming such as storage systems, Kubernetes operators, OS-level software ...

customer engagement. You will analyse business requirements throughout the service life cycle and design modern data analytics platforms. Responsibilities include translating requirements, data modelling, ETL and data migration, data quality, MDM, and a strong focus on data science, AI and ML. Agile delivery and stakeholder management are key to success. ...