At a Glance
- Tasks: Design and build data solutions for a next-gen insurance analytics platform.
- Company: Join Allstate, a leader in innovation and community impact.
- Benefits: Enjoy competitive salary, flexible working, and continuous learning opportunities.
- Other info: Be part of a high-performing team with excellent career growth potential.
- Why this job: Shape the future of insurance with cutting-edge tech and a supportive culture.
- Qualifications: 3+ years in data engineering with strong skills in Python, Java, or Scala.
The predicted salary is between 60000 - 80000 £ per year.
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs.
Your role in the team:
We are building a next-generation insurance analytics platform that powers real-time offer optimization, market sensing, and model-driven decision-making across our personal lines products. This role is responsible for designing and building the data infrastructure in Microsoft Fabric that standardizes, integrates, and delivers the data our actuarial, data science, and product teams depend on. You will own the pipelines that bring together internal claims, policy, and quoting data with external market signals into a unified, reliable data platform. Your work directly enables the models and systems that determine what we offer customers and how quickly we react to market shifts.
Key Responsibilities:
- 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.
Essential Skills:
- A minimum of 3 years experience in a related field developing sophisticated big data pipelines in support of machine learning.
- 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).
Supervisory Responsibilities: This job does not have supervisory duties.
Why join us?
Allstate NI is proud to be Allstate's European Digital Centre of Excellence, a hub for innovation and engineering excellence. We're recent winners of Best Place to Work in IT (100+ employees) and Best Use of Cloud Services at the Belfast Telegraph IT Awards, and we've been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey. We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence.
Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value. We also invest in you. At Allstate NI, your career growth matters. You'll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities. Whether you're deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive.
What do you get in return?
As well as receiving a competitive annual salary, our reward package includes:
- Corporate bonus scheme
- Pension scheme
- Annual performance-related pay reviews
- Life assurance and income protection
- Flexible working options
- Hybrid working
- Private medical and dental insurance
- Access to an employee assistance programme
- Discounted gym membership
- Two paid volunteering days each year
- Cycle to work scheme
Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.
To be considered for this role you will be redirected to and must complete the application process on our careers page.
Data Analytics Engineer- Senior Consultant II employer: Allstate Northern Ireland
At Allstate NI, we pride ourselves on fostering a collaborative and innovative work environment that empowers our employees to excel in their careers. As a leading digital centre of excellence in Belfast, we offer extensive professional development opportunities through our Continuous Learning Hub, alongside a competitive benefits package that includes flexible working options, private medical insurance, and a strong commitment to community impact. Join us to be part of a high-performing team where your contributions make a real difference in shaping the future of insurance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer- Senior Consultant II
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We think you need these skills to ace Data Analytics Engineer- Senior Consultant II
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