576 to 600 of 833 ETL Jobs in the UK

code generation patterns and the development or use of code generators. Familiarity with data management technologies such as relational or columnar databases, data integration (ETL), or API development Familiarity with data formats such as JSON, XML, Avro, or Google Protocol Buffers Comfort engaging with the algorithms and mathematics behind languages ...

and analysis- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable resultsPreferred qualification - Knowledge of SQL/ETL- Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan- Experience in solving complex business challenges ...

structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform, CI/CD, warehouses, ETL). Front-end or IaC delivery experience to complement the backend core. How you'll know this job is for you You like being the person ...

budgeting, forecasting, and management reporting cycles work in practice. Helpful if you have experience automating reporting workflows, or some familiarity with data integration and ETL concepts such as connecting planning platforms to upstream data sources like Snowflake or dbt. You may also bring experience from a high‐growth technology business ...

performance, large-scale ML systemsFamiliarity with GPUs, Kubernetes, and OS internalsExperience with language modeling using transformer architecturesKnowledge of reinforcement learning techniquesBackground in large-scale ETL processesYou'll thrive in this role if you: Have significant software engineering experienceAre results-oriented with a bias towards flexibility and impactWillingly take on tasks ...

require 3 days per week on site in Skipton, North Yorkshire. The key skills required for this Data Engineer role are: Azure Databricks SQL ETL Azure If you do have the relevant skills for this Data Engineer position, please do apply. If you live locally, please include this on your ...

implementing and managing data solutions on AWS, including services such as S3, Lambda, EC2, RDS, and Glue. Process data at scale by developing ETL processes for both batch and real-time data ingestion, transformation, and storage. Optimize performance by monitoring, troubleshooting, and tuning data flows to ensure reliability and efficiency … and Glue. Proficiency in Python is also required. Beyond core languages and platforms, the ideal candidate will have practical experience with the following: ETL tools and data pipeline frameworks SQL and NoSQL databases Data modelling, data warehousing, and big data technologies CI/CD practices and version control (e.g. ...

implementing and managing data solutions on AWS, including services such as S3, Lambda, EC2, RDS, and Glue. Process data at scale by developing ETL processes for both batch and real-time data ingestion, transformation, and storage. Optimize performance by monitoring, troubleshooting, and tuning data flows to ensure reliability and efficiency … and Glue. Proficiency in Python is also required. Beyond core languages and platforms, the ideal candidate will have practical experience with the following: ETL tools and data pipeline frameworks SQL and NoSQL databases Data modelling, data warehousing, and big data technologies CI/CD practices and version control (e.g. ...

Azure Databricks, Data Factory, Synapse, Data Lake, SQL and Python/PySpark. Key responsibilities: Build and enhance data pipelines across Azure and Databricks Develop ETL/ELT solutions to integrate data from multiple business systems and sources Transform and model data for use across analytics and reporting Support the ongoing … experience: Experience with Azure Databricks Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage SQL and Python Understanding of data warehousing and ETL principles Strong communication and stakeholder engagement skills What's on offer: Flexible hybrid working environment Opportunity to work with a modern Azure data platform Exposure ...

that power reporting, dashboards and self-service analytics across the business. Working closely with BI Developers and business stakeholders, you'll design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable backend data solutions. This is a fantastic opportunity for someone who enjoys … challenges and wants to work with modern cloud technologies in a collaborative, forward-thinking environment. What you'll be doingDesign, build and maintain scalable ETL/ELT pipelines that deliver reliable, high-quality data. Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics. Optimise data models ...

data warehouse and reporting strategy, with Snowflake forming a key part of the modern data environment Design, build and improve scalable data pipelines, ETL/ELT processes and data models Use Snowflake and SQL to create robust, reliable and accessible data solutions Develop and evolve reporting and analytics capabilities using … What we’re looking for Strong commercial experience with Snowflake Strong SQL skills and experience developing modern data warehouse solutions Experience designing and maintaining ETL/ELT pipelines and data models Strong experience with Power BI and business reporting A background spanning both data engineering and analytics Experience taking ownership ...

Databricks Proficient in Microsoft Azure, including Azure Data Factory and Azure Data Lake Advanced SQL and Python or PySpark skills Experience building enterprise-level ETL/ELT pipelines Knowledge of data modelling, governance, and data quality Previous consultancy or client-facing delivery experience Excellent communication and stakeholder-management skills What … Design and develop scalable data pipelines and cloud data platforms Build solutions using Snowflake, Databricks, and Azure Data Services Develop robust ETL/ELT workflows for complex datasets Optimize data models, platform performance, and processing costs Support data migration, integration, and transformation programmes Provide technical guidance and promote data engineering ...

exposure to the London Insurance market Key Responsibilities Data & Analytics Lead the architecture and ongoing development of an enterprise Data Warehouse. Design and maintain ETL/ELT processes and system integrations. Develop and optimise data models to support reporting and analytics. Ensure data quality, governance and integrity across platforms. Support … Solution Architect, Technical Architect or Senior Developer. Strong experience designing and supporting enterprise Data Warehouse solutions. Advanced SQL and database development skills. Experience with ETL, data modelling and data integration technologies. Strong knowledge of Microsoft Azure data services. Hands-on experience with: Power Platform Power Automate Power Apps Power ...

self-service capabilities to ensure long-term solution adoption. Execute every phase of a Workday Prism implementation, rotating through roles such as Data Architect, ETL Specialist, Solution Architect, and Analytics Lead. Develop sophisticated data models and advanced dashboards to enhance our analytics propositions and grow the business. Maintain high flexibility … from candidates with experience in some or all of the following: Experience delivering Workday Prism Analytics solutions or strong Workday Reporting experience. Knowledge of ETL, data transformation or data integration principles. Experience building Workday reports, including Calculated Fields, Matrix Reports and Composite Reports. Understanding of data modelling and integrating Workday ...

data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development ...

ETL Data Engineer – Fintech To 75,000 West LondonQuant Capital is urgently looking for an ETL Data Engineer to join our high profile client. Quant Capital is urgently looking for an ETL Data Engineer to join or well known Fintech50 client who produces software disrupting the wealth management market. Currently … cloud environment Data Analysis Data modelling The Data Engineer Must have: Comp Sci or Engineering Degree Experience in building complex data pipelines/ETL/ELT scripts Extensive experience with SQL Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse ...

This is not a paper-architect role. The successful candidate will pick up an in-flight, multi-year programme to decouple and replatform the ETL processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake …/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell development at expert level partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance ...

perform Quality Assurance checks according to the project and industry standards Ability to coordinate and manage own workload support project delivery Familiarity with ETL tools like FME and GIS integrations Excellent communication and engagement skills Understanding of construction processes, asset lifecycles and industry regulations and standards Experience in large infrastructure ...

call ‘PRISM for Business’ and ‘PRISM for Technology’. In both areas we use software and templated methodologies to execute data transformation/ETL operations, including complementary services to create turnkey solutions. PRISM for Technology : primarily selective migration projects, commonly looking at Selective Data Transition (SDT) projects to help clients ...

planning and work with a Kanban and sprint framework. The stack emphasizes Python, containerisation, IaC, CI/CD, and Azure cloud, across data sourcing, ETL, and front-end delivery. #J-18808-Ljbffr ...

leading entertainment marketing and advertising agency, is seeking a Data Engineer to join the Data & Insights Team. You will own pipelines, identity resolution, and ETL/ELT workflows to deliver a real-time CDP platform from data sources to activation and reporting. You will collaborate with data scientists and developers ...

Oefentherapie is seeking an experienced ERP data migration specialist to lead end-to-end NetSuite migrations from legacy systems. You will design strategies, perform ETL, and ensure data quality while guiding customers on data governance and roadmaps. The role emphasizes collaboration with consultants and business teams, delivering training, and providing ...

Initially you will focus on delivering data to analysts, with opportunities to design core data infrastructure as you grow. The role emphasizes reliable Python ETL development, strong communication, and a collaborative, high-performance #J-18808-Ljbffr ...

technology leads to translate business requirements for front, middle and back-office data services. You will own requirements, mappings and data governance activities, supporting ETL/ELT processes and reference data setups across asset classes, while working in a scaled Agile environment with cross-functional teams. #J-18808-Ljbffr ...

responsible for defining scalable architectural solutions and guiding engineering teams. The role focuses on designing data platforms using Databricks Lakehouse architecture and optimizing ETL pipelines. Ideal candidates are expected to evaluate technologies and implement best practices while ensuring data governance. This is a hybrid role with 3 days ...