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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer- Senior Consultant II - **Company:** Allstate - **Location:** Belfast, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Big Data, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Data Systems, Software Debugging, DevOps, Document-Oriented Databases, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Meta-Data Management, NoSQL, Performance Tuning, SQL Databases, Data Streaming, Data Processing, Apache Spark, Generative AI, Microsoft Fabric, Containerization, Kubernetes, Information Technology, Data Lineage, Apache Flink, Deployment Automation, Data Analytics, Integration Frameworks, Apache Kafka, Virtual Agents, Software Version Control, Data Pipelines, Docker, Jenkins - **Published:** July 2, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=bb65082172647bec ## About the Role * A minimum of 3 years experience in a related field developing sophisticated big data pipelines in support of machine learning and advance with Strong proficiency with data pipeline development in Python, Java, or Scala. * A minimum of 3 years' experience with modern data frameworks (Spark, Kafka, Flink, dbt, or equivalent). * A minimum of 3 years' experience with SQL and NoSQL databases and data modeling principles. * Proven Ability to optimize SQL, pipelines and storage for performance and cost. * Experience building batch and/or streaming data solutions. * Experience using Microsoft Fabric Notebooks to develop, debug, and operationalize data engineering workflows. Desirable Skills * A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent). * Experience with cloud data services (Azure, AWS). * Experience with observability and monitoring tools. * Hands on experience with Microsoft Fabric components, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, and Semantic Models. * Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.). * Performance tuning for data pipelines, databases, and queries. * Familiarity with generative and agentic AI tools to improve engineering productivity. * Experience with containerization and orchestration tools (Docker, Kubernetes)., Big Data, Data Analytics, Data Engineering, Java (Programming Language), Machine Learning (ML), Python (Programming Language) ## Description Design, Build & Manage Data Solutions * Design, develop, and enhance scalable data pipelines and data processing systems. * Build reusable ingestion, transformation, and storage patterns to support product and analytical needs. * Integrate data from diverse sources including APIs, databases, event streams, and third party systems. * Implement data models and schemas that create unified, consistent views of business operations. Engineering Excellence * Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments. * Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools. * Optimize data workflows for performance, cost efficiency, and operational resilience. * Document data flows, lineage, and technical components in support of transparency and maintainability. Product Collaboration & Delivery * Collaborate closely with product managers, engineers, and analysts to understand data requirements. * Participate in iteration planning, ensuring shared understanding of backlog items and technical needs. * Engage in daily standups, retrospectives, and product ceremonies as an active member of the team. Governance, Standards & Continuous Improvement * Contribute to data governance practices such as metadata management and data lineage. * Ensure compliance with data privacy, security, and regulatory requirements. * Evaluate new technologies, frameworks, and patterns to improve data infrastructure and engineering capabilities. * Share knowledge and mentor less experienced engineers, contributing to team growth and best practices. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)