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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Analytics Engineer - **Company:** Ocho People - **Location:** Galgorm Parks, UK - **Salary:** £50,000.0 - £55,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, BigQuery, Business Systems, Software as a Service, Code Review, Databases, Continuous Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Query Optimization, Power BI, Software Tools, DataOps, SQL Databases, Data Streaming, Workflow Management Systems, Azure Data Factory, Sql Optimization, Snowflake, Apache Spark, Git, Powerquery, Data Layers, Microsoft Fabric, Data Analytics, Real Time Data, Data Management, Api Design, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5847197681 ## About the Role Strong commercial experience working with modern cloud-based data platforms such as Microsoft Fabric, Snowflake, Databricks, Synapse or BigQuery Advanced SQL skills with experience optimising queries and designing scalable data models Strong understanding of dimensional modelling, semantic layers and data warehousing principles Experience building ETL or ELT pipelines using tools such as dbt, Power Query, Spark, Azure Data Factory or Fabric Pipelines Experience implementing data quality, governance and security controls Strong understanding of reporting and analytics platforms, particularly Power BI and self-service analytics environments Experience working with APIs, SaaS applications and multiple enterprise data sources Comfortable engaging with both technical and non-technical stakeholders Strong communication, problem-solving and analytical skills Desirable Experience Experience with Azure, AWS or GCP Exposure to orchestration tools such as Airflow, Dagster or Fabric Pipelines Experience with Git, CI/CD pipelines and DataOps practices Knowledge of Microsoft Purview, Unity Catalog or similar governance tools Experience working with streaming or near real-time data Exposure to AI-assisted analytics and modern self-service data capabilities ## Description Build and maintain data pipelines that ingest and transform data from databases, APIs, SaaS platforms, files and other business systems Design and develop scalable ETL and ELT processes using modern data engineering tools and cloud platforms Create dimensional models, semantic layers and reusable datasets that provide consistent business metrics across the organisation Develop efficient SQL and transformation logic to support analytics, reporting and business intelligence requirements Implement automated data quality controls, validation frameworks and monitoring processes Optimise platform performance through effective modelling, query tuning and infrastructure design Manage deployments across environments and support CI/CD and DataOps practices Configure security, governance and access controls to ensure data integrity and compliance Build trusted datasets that enable self-service analytics across Power BI and other reporting platforms Work closely with business stakeholders to translate business questions into measurable KPIs and actionable insights Maintain data dictionaries, lineage documentation and governance standards Support technical mentoring, code reviews and continuous improvement initiatives within the wider team ## Related Videos - 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