276 to 300 of 818 ETL Jobs in the UK

and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams to enable scalable data products. Required Multiple years in Platform Engineering, Cloud, Integration ...

Experience designing jobs that can be promoted from one (Dev) environment to another (Test or Prod) seamlessly, without modification Working understanding of SSIS and ETL best practices within a MS SQL Server environment Familiarity with SSIS error handling, error propagation and email notification Exposure to statistical modeling software (MATLAB ...

and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams to enable scalable data productsRequired Multiple years in Platform Engineering, Cloud, Integration, or Data ...

data is fit for VaR and SVaR calculations. Infrastructure Development Build and enhance Snowflake-based time series infrastructure for scalability and performance. Develop Python ETL/ELT pipelines and optimized SQL models for historical time series storage and retrieval. Collaboration & Governance Work closely with Market Data and Risk teams ...

looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA collaborative working style and clear communication across technical and non-technical stakeholders. A keen desire to want to learn ...

pipeline development. Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar). Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes. Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences. Strong problem-solving skills with the ability ...

silver/gold layer design)- Data strategy and governance frameworks- Data modeling and schema design for analytics workloads- Modern data platform design and implementation- ETL/ELT pipeline development and optimization (Glue, EMR)- Data warehousing solutions (Redshift)- Data catalog management and metadata governancePreferred qualification - Experience in IT implementation- Data quality ...

range of stakeholders and flexible to work under time pressure to business needs, particularly around quarter end close deadlines.* Proven experience with ETL, data warehousing, version control, and visualization tools (e.g. Power BI).* Excellent analytical and problem-solving skills, with the ability to interpret complex data sets and debug ...

integration, data platforms and AI-enabled products and services within a complex enterprise environment. Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management. Experience working with data platforms and technologies such as Snowflake, SQL-based data environments ...

integration, data platforms and AI-enabled products and services within a complex enterprise environment. Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management. Experience working with data platforms and technologies such as Snowflake, SQL-based data environments ...

within the Power Apps environment. Power BI: Advanced knowledge of Power Query, DAX, and data visualisations. PL600 certificationData Architecture: Proven expertise in data modelling, ETL processes, and relational database concepts. Optimization: Ability to troubleshoot and tune performance for slow-running reports or laggy applications. Integration: Solid understanding of Power Automate ...

solutions effectively within the project team and across stakeholders and end-users; Mentor junior team members. Key accountabilities Experience with data platform, data workflow, ETL process, systems integration and APIs is a must-have. Solid knowledge on relational and non-relational data, structured and non-structured data is a must ...

Senior or Lead Data Engineer in complex environmentsStrong hands-on expertise in modern data engineering tools across cloud platforms Deep understanding of ETL/ELT, data architecture, and data quality frameworksA mentor who enjoys helping others growStrong stakeholder engagement skills and ability to shape solutions from ambiguityCuriosity and a passion ...

designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms ...

deploying to and reasoning about containerised workloads in a managed K8s environment. Experience orchestrating pipelines with Dagster, Airflow, Prefect, or similar. Solid grasp of ETL concepts and production‐grade pipeline design. Beneficial Skills Interest in chemistry, life sciences, robotics, or manufacturing. Hands‐on experience with scientific data, chemical, biological ...

Doing Defining andmaintainingthe data architecture roadmap for theDataHubplatform. Designing and governing common data models, conformeddimensionsand shared datasets. Providing architectural oversight of ETL/ELT pipelines, data ingestionpatternsand data partitioning strategies. Applying architectural best practices to new and evolving business requirements. Identifyingopportunities to reduce data duplication, improve efficiency and optimise storage ...

full lifecycle: from defining what data to expose, through schema design, to commercial packaging and client onboardingUnderstanding of data infrastructure concepts: data pipelines, warehouses, ETL/ELT, data modelling, and platforms like SnowflakeComfortable with SQL and Python and capable of interrogating data to validate quality, understand usage patterns, and inform ...

data dictionaries, business rules, and cross-reference documentation.Experience with ETL/ELT processes, data ingestion frameworks, and data integration solutions used to acquire, transform, and load data between systems.Ability to analyze source system data structures and reconcile data between upstream platforms, operational systems, and target data warehouses.Experience performing data profiling ...

data processing solutions using PySpark, Python and SQL with a focus on performance, resilience, testing and observability. Lead the migration and modernisation of legacy ETL and reporting workloads into cloud-native architectures. Develop reusable data engineering components and shared frameworks. Build and optimise data transformations and models supporting Management Information … large-scale data processing. Experience building and maintaining enterprise-scale batch data pipelines. Strong understanding of cloud-native data engineering architectures. Experience modernising legacy ETL platforms and migrating workloads to AWS. Experience implementing CI/CD pipelines, Infrastructure as Code (Terraform) and automated testing. Strong knowledge of Git/GitLab ...

accomplished and detail-oriented Snowflake Data Engineer to join our Data & AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that … engineers to deliver high-quality scalable data solutions. Technical Expertise: Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience ...

Engineering and Analytics teams to drive strategic development and enhancements to our reporting platforms and tools. Oversee and execute detailed data mapping exercises. Guide Extract, Transform, and Load (ETL) processes to ensure data flowing into the reporting systems is accurate, scalable, and fit for purpose. Act as the subject matter … liquidity returns. Extensive project management and systems expertise, with a proven track record of leading reporting system enhancements, infrastructure upgrades, vendor implementations, data mapping, ETL processes, and UAT methodologies. Strong analytical and problem-solving skills to interrogate complex datasets, challenge outputs, and deliver actionable management insights. Effective communication and stakeholder ...

Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

data scientists to deliver clean, reliable, and timely maritime datasets that directly inform investment decisions. What You'll Do Design, build, and maintain robust ETL/ELT pipelines ingesting AIS and other maritime datasets (port calls, drafts, cargo, vessel metadata) at scale. Develop and optimize geospatial data models in PostGIS ...