1 to 25 of 61 ETL Jobs in the South West

Stream Analytics, and Event Hub. Experience working with the Microsoft Azure cloud-based ecosystem Experience in extracting data from heterogeneous data sources by using ETL tools Experience in creating and managing SSAS Tabular models, creating Dimension and Fact Tables. Finance or Insurance domain Reporting Tools: Power BI, Cognos, MicroStrategy. What More ❯

sets to meet business and technical requirements. Process Improvement: Identify and implement process enhancements, automate manual tasks, and optimize data delivery. Data Integration: Build ETL infrastructure to ensure smooth data extraction, transformation, and loading. Collaboration: Work alongside stakeholders, including data scientists and analysts, to meet data infrastructure needs. Data Quality More ❯

Microsoft Fabric, including Lakehouse (Delta format), OneLake, Pipelines & Dataflows Gen2, Notebooks (PySpark), Power BI & Semantic Models. Possess a solid understanding of data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. More ❯

analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based More ❯

reporting. Requirements Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent analytical and problem-solving More ❯

migration projects to enhance system performance and integrity. Supporting the deployment of machine learning models using Databricks and PySpark. Managing and optimising cross-functional ETL processes across 80 databases daily. Working within a secure private cloud environment that includes Azure, SQL 2016, and SQL Server. About You The ideal candidate More ❯

to take part in overnight support rota Minimum criteria Significant database experience in Snowflake or Oracle Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering More ❯

with hands-on experience building pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git More ❯

business requirements. Experience with Big Data technologies, Data Lakes, Data Warehouses, Lakehouses. Proficiency in Databricks and Python, including concurrency and error handling. Experience with ETL tools and data visualization tools. Preferred qualifications, capabilities, and skills Experience with AWS services like Lambdas and Terraform. Knowledge of Java and front-end development. More ❯

for data platforms built on Microsoft Fabric. * Leading QA efforts across agile delivery squads. * Developing automated tests for: - PySpark notebooks in Fabric or Databricks - ETL pipelines and transformation logic - Delta tables and multi-layered Lakehouse architectures * Embedding testing into CI/CD flows using Azure DevOps or GitHub Actions. * Creating More ❯

system knowledge. Troubleshoot data warehouse and integration issues and implement enhancements for improved performance and reliability. Contribute to the design, development, and maintenance of ETL pipelines and reporting systems. Requirements: Microsoft SQL Server Database deployed on-premise and in the cloud. Always On replication to a secondary DR host. Ability More ❯

visual communication. Strong problem-solving abilities and analytical thinking. Effective communicator, engaging across various business functions. Experience with SQL, Python, R, database design, and ETL processes - Desirable. Qualifications for the Business Intelligence Engineer Passion for or interest in a Business Intelligence Engineer role, ideally with a degree or equivalent in More ❯

including writing and optimising complex queries) Proven experience in Database Administration, including working with procedures, scripts, and table views Solid hands-on experience with ETL tools Familiarity with data visualisation tools (e.g., Superset, Tableau, Power BI) Experience with source control tools such as Bitbucket Familiarity with collaboration tools like Jira More ❯

approach and methodology You'll create robust data models (e.g. star schemas, data vault) to enable scalable analytics and reporting You'll deliver efficient ETL/ELT processes tailored to our clients' requirements. Team Leadership & Mentorship You'll inspire and guide junior engineers, fostering a culture of innovation and excellence More ❯

in a data environment Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data Liaise with data/business SME to understand/confirm data requirements and obtain More ❯

In-depth knowledge of Big Data frameworks, such as Hadoop, Spark, and Kafka, with a strong emphasis on Java development. Proficiency in data modeling, ETL processes, and data warehousing concepts. Experience with data processing languages like Scala, Python, or SQL. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes). More ❯

Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validate 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 More ❯

the perfect role for you and wed love to hear from you! What experience youll need to apply: Strong technical expertise in Python, SQL, ETL, and Googles data stack (BigQuery, Dataform, Looker Studio, Composer). Experience leading and mentoring data teams, with a passion for developing people. A deep understanding More ❯

it's properly understood, organized and governed. Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with More ❯

to them. Benefits: Flexitime Free Parking Pension Scheme Life Assurance Cycle to Work Scheme Free Eye Tests Employee rewards scheme And more Role Responsibilities: ETL processes Collect, clean and analyse data Build, develop, and maintain data models, dashboards, and systems Optimise data processes Track project progress Help to analyse pricing More ❯

to them. Benefits: Flexitime Free Parking Pension Scheme Life Assurance Cycle to Work Scheme Free Eye Tests Employee rewards scheme And more Role Responsibilities: ETL processes Collect, clean and analyse data Build, develop, and maintain data models, dashboards, and systems Optimise data processes Track project progress Help to analyse pricing More ❯

to them. Benefits: Flexitime Free Parking Pension Scheme Life Assurance Cycle to Work Scheme Free Eye Tests Employee rewards scheme And more Role Responsibilities: ETL processes Collect, clean and analyse data Build, develop, and maintain data models, dashboards, and systems Optimise data processes Track project progress Help to analyse pricing More ❯

a Senior Data Engineer looking to transition into this domain will also be considered. Key Responsibilities: Oversee and lead the design and implementation of ETL/ELT processes to ingest data from new ERP system into Snowflake Architect and develop the Snowflake data warehouse to support reporting and analytics needs … into a strategic application portfolio plan and ensure its effective management and alignment with organisational goals. Business Intelligence: Knowledge of the data lifecycle from ETL, through to the analysis of datasets, leading to the publication of information and aiding business stake holders to derive insight and potential trends. IT Security … services with the needs of the business, through high-quality products services and the management of external services Key Skills & Experience: Essential: Experience with ETL/ETL tools (Matillion preferred) Experience of SQL Server and Snowflake (or other variants of Cloud Data Warehousing solutions e.g Azure/AWS etc) Experience More ❯

Location: Hybrid - Monthly visits to client site - Bristol Rate: £400-£475 IR35: Outside IR35 Key Responsibilities: Develop and deploy Power BI dashboards and reports ETL data from multiple sources, ensuring accuracy Use DAX & Power Query for advanced modelling Collaborate with stakeholders to optimise reporting Requirements: Strong Power BI, DAX, and More ❯

create and maintain effective working relationships with stakeholders at all levels . Middle layer/API/Backend system integration/Basis Database and ETL knowledge. Experience in AWS/Azure Cloud and on-premises application hosting, at least 1 project. Experience in Web app and infra security. Non-Functional More ❯