22 of 22 Permanent ETL Jobs in Yorkshire

based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data ...

data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Architect, implement and oversee high-performing data lakes, data warehouses and ETL/ELT processes Develop scalable, robust data models for enterprise-level reporting within Power BI Serve as a technical authority, advising clients on best-fit data solutions ...

focused on building a trusted, well-governed, and scalable data environment. The Role * Own the design, build, and optimisation of cloud-based ELT and ETL pipelines. * Shape the data warehouse architecture and ensure data is prepared for analytics, reporting, and operational use. * Improve existing processes and contribute to a modernised ...

aptitude such as Computer Science, Data Engineering or a related field, is essential Knowledge & Experience: Essential: Some knowledge of data extraction, transformation, and loading (ETL) Introductory experience working with Power BI Advanced Excel skillset Desirable: Familiarity working with APIs, including to retrieve data from external sources, API configuration and data ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

Responsibilities Data Engineering & Platform Development Design, develop, and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology, Workshop, etc.) Implement data transformations, ETL/ELT workflows, and orchestration within Foundry/FDP environments Develop modular, reusable data components following software engineering best practices Build and maintain data products ...

banking infrastructure to hundreds of fintech and digital asset companies, alongside a growing SME lending operation. THE ROLE: Design and maintain scalable ELT and ETL pipelines Own data warehousing architecture, Introduce and enhance governance tooling, Mentor a junior data engineer Collaborate closely with data, product, and operational stakeholders to deliver ...

this can add value Have demonstratable expertise in data handling and how this can add value Understanding the data warehouse lifecycle such as ETL Demonstrate experience in managing and reporting from large and small data sets Have good interpersonal skills and ability to work effectively in a team The ability ...

will take charge of a Data Engineering team focused on data ingestion and modelling. Specifically, you can expect to be involved in the following: ETL pipelines for data ingestion and data modelling Using AWS to store and process data, with Snowflake as the data warehouse Use of Python and ...

Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and ...

data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle large, complex datasets independently. Collaboration: Proficient in Git and comfortable working with Excel for stakeholder data exchange. Cloud & MLOps ...

Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize ...

ensure accurate, reliable data migration into a modern ERP environment. Duties of the Junior Data Developer will include: Analysing data from legacy systems Supporting ETL (extract, transform, load) processes Validating and reconciling migrated data Performing data cleansing and quality checks Supporting UAT and testing phases Maintaining data mapping documentation and … skills and attention to detail Willingness to learn in a project-driven environment Exposure to ERP systems (Sage X3 or similar) desirable Experience with ETL tools (academic or commercial) desirable Exposure to cloud platforms desirable Degree in Computer Science, Information Systems, Data or related discipline (or equivalent experience) This role ...

deployment. Design and build Power BI dashboards, data models, and interactive reports tailored to customer needs. Develop efficient SQL queries, stored procedures, and ETL processes to support reporting and integration. Work with Sage 200 and other business systems to extract, transform, and model data. Run workshops, gather requirements, and translate … and data modelling. Solid SQL skills and experience working with relational databases (SQL Server, Azure SQL, etc.). Understanding of data warehousing concepts and ETL processes. Experience working with Sage 200 data structures is highly desirable (but not essential). Excellent communication skills and the ability to explain technical concepts ...

operation, and evolution of our SQL Server data warehouse. Establish best practice standards for schema design and performance tuning in SQL Server/SSMS. ETL/ELT & integration: Define and manage pipelines (e.g., SSIS & Power Query) that consolidate sources including core broking systems (e.g., Acturis) and newly acquired businesses; deliver … query writing. Significant experience delivering Power BI models and dashboards (DAX, Power Query, RLS, performance). Advanced Excel: advanced formulas, Pivot tables, Power Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent ...

practices in .NET development What We're Looking For: Expert .NET Developer: Deep knowledge SQL Server Proficiency: Strong fundamentals in querying, table design, and ETL processing large datasets (performance tuning not required) ADO.Net Expertise: Familiarity with EntityFramework or other ORMs is a plus, but not essential Async & Multithreading Mastery: Experience ...

views, and functions. Optimize and tune SQL queries for performance. Design and maintain relational databases and data models. Perform data extraction, transformation, and loading (ETL). Ensure data integrity, accuracy, and security. Troubleshoot database-related issues and implement solutions. Required Skills: Strong proficiency in SQL (T-SQL/… . 2+ years of experience as a Tech Lead is preferred. Experience with RDBMS like Microsoft SQL Server, Oracle, MySQL, PostgreSQL. Knowledge of ETL tools and processes. Familiarity with data warehousing concepts. Understanding of indexes, joins, normalization, and performance tuning. Basic knowledge of Python/Shell scripting (optional ...

into our platform. This role owns the end-to-end migration lifecycle: extraction, transformation, validation, reconciliation, and loading of data using API-led and ETL approaches. In addition, this role will advise on and help shape an internal data warehouse that will act as the foundation for migration preparation, cleansing … single source of truth for database migrations. Key Responsibilities Lead the data migration workstream, including planning, scoping, mapping, cleansing, testing, and loading. Extract data from legacy CMS/PMS and related systems and transform datasets to meet target data models. Use API-based tools and integration frameworks to perform data ...

Only) This is a standout opportunity to take technical ownership of a modern data engineering function. You will shape data architecture, build high-impact ETL pipelines, and play a key role in developing both the platform and the team as they enter their next phase of growth. THE COMPANY They … team focused on data ingestion and modelling. Specifically, you can expect to be involved in the following: Leading the design, build and optimisation of ETL pipelines and ingestion frameworks. Owning core data engineering solutions across modelling, transformation and orchestration. Acting as a technical lead while providing light people leadership ...

following: Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs. Ownership of data infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands … expertise across data engineering, data infrastructure and cloud-based architecture. Proven capability designing and delivering end-to-end data platforms. Hands on experience with ETL development, data modelling and data normalization. Background in AWS environments and modern orchestration tools such as Airflow or Dagster. Confidence leading client conversations, running workshops ...

following: Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs. Ownership of data infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands … expertise across data engineering, data infrastructure and cloud-based architecture. Proven capability designing and delivering end-to-end data platforms. Hands on experience with ETL development, data modelling and data normalization. Background in AWS environments and modern orchestration tools such as Airflow or Dagster. Confidence leading client conversations, running workshops ...