Data Analytics Engineer- Senior Consultant II

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:
• All applicants must demonstrate they have the legal right to work for employment at Allstate.
• 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).
• Supervisory Responsibilities:
• This job does not have supervisory duties.
• Posting date: Thursday 9th July 2026 [11.59]

Requirements

• Big Data, Data Analytics, Data Engineering, Java (Programming Language), Machine Learning (ML), Python (Programming Language)
• Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture
• Why join us?

Additional Information

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 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.

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