1 to 25 of 32 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 ...

while promoting best practices and operational excellence. Key Responsibilities Lead the design, development, and optimisation of enterprise data engineering platforms Build and maintain robust ETL/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark ...

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 ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

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 ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines . Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating ...

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 ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

opportunities Desired technical skills: Power BI expertise Data Modelling, DAX, Power Query, Report/dashboard development SAP Business Objects (essential) SQL Azure Data Services ETL and data pipelines Ability to interpret data and communicate to non-technical audiences The company have an excellent reputation within their sector and have shown ...

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 ...

tooling. Experience integrating telemetry into Splunk (HEC, UF, sourcetypes, CIM), building dashboards and alerting. Strong data engineering skills in Python (or similar) for ETL/ELT, enrichment, and validation. Knowledge of event schemas (Avro/Protobuf/JSON), contracts, and backward/forward compatibility. Familiarity with observability standards and practices ...

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 ...

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 ...

and Prometheus * Proven capability integrating telemetry into Splunk (HEC, Universal Forwarders, sourcetypes, CIM, dashboards, alerting) * Solid data engineering skills in Python (or similar) for ETL/ELT, enrichment and validation Please apply for immediate interview! CBSbutler is operating and advertising as an Employment Agency for permanent positions 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 ...

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 ...

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 ...