About The Role

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

Allstate's Data & Analytics Technology organization is seeking a highly skilled and hands-on Senior Data Engineer to design, build, optimize, and support scalable, reliable, and high-performing data platforms and pipelines. This role is focused on developing enterprise data solutions that enable analytics, reporting, AI/ML, and data-driven decision making across the organization.

The ideal candidate possesses strong expertise in modern data engineering practices, Apache Spark, cloud-based data platforms, and lakehouse architectures. As a senior individual contributor, the candidate will provide technical leadership, mentor junior engineers, drive engineering best practices, and contribute directly to the design and implementation of enterprise-scale data solutions.

The role requires close collaboration with Analytics Engineers, Data Scientists, Product Managers, Platform Engineers, Security teams, and business stakeholders to deliver trusted, scalable, and analytics-ready data products.

Key responsibilities

Design, develop, and maintain scalable batch and streaming data pipelines using Apache Spark , cloud-native technologies, and modern data platforms.
Build and optimize ETL/ELT frameworks to ingest, transform, validate, and curate data from diverse enterprise source systems.
Develop and implement data solutions leveraging Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, and Semantic Model capabilities.
Design data models, storage strategies, and data processing architectures that support enterprise analytics and reporting requirements.
Partner with Analytics Engineers, BI teams, Data Scientists, and business stakeholders to deliver trusted, reusable, and analytics-ready datasets.
Drive adoption of engineering best practices including code quality, peer reviews, automated testing, CI/CD, and documentation standards.
Ensure data quality, governance, lineage, metadata management, security, privacy, and compliance requirements are incorporated into data solutions.
Monitor and optimize performance, scalability, reliability, and cost efficiency of distributed data processing workloads.
Develop reusable frameworks, libraries, templates, and engineering patterns that improve development productivity and consistency.
Implement and support CI/CD pipelines, Infrastructure-as-Code principles, and deployment automation for data engineering solutions.
Troubleshoot complex data integration, performance, and operational issues across platforms and pipelines.
Collaborate with platform, infrastructure, architecture, and security teams to build resilient, scalable, and secure enterprise data solutions.
Create and maintain technical documentation, architecture diagrams, operational runbooks, and implementation guides.
Participate in technical design sessions, architecture reviews, and engineering discussions while providing recommendations and solutions.
Mentor and guide junior and mid-level data engineers through technical coaching, code reviews, design reviews, and knowledge sharing.
Evaluate and adopt emerging technologies, engineering practices, and AI-assisted development capabilities to improve delivery velocity and quality.
Support production operations through monitoring, root cause analysis, incident resolution, and continuous improvement initiatives.
Contribute to Agile delivery processes including sprint planning, estimation, backlog refinement, and execution of engineering commitments.
Promote DataOps practices, automation, observability, and engineering excellence across development teams.
Serve as a technical subject matter expert for modern data platforms, Spark processing, Microsoft Fabric, and lakehouse architectures.

Essential Skills

All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
A minimum of 2 years of experience in Data Engineering and Big Data technologies.
Deep expertise in Apache Spark (PySpark/Spark SQL).
Experience with Microsoft Fabric, OneLake, Lakehouse Architecture, Data Warehouse, and building Semantic Models.
Strong SQL and data modeling skills.
Experience building and optimizing ETL/ELT pipelines.

Desirable Skills

Strong proficiency in Java and experience building distributed applications and services.
Experience with Kafka or similar event-streaming platforms.
Understanding of Data Governance, Data Quality, Security, and Privacy controls.
Ability to mentor junior engineers and provide technical leadership without direct people management responsibilities.
Knowledge of streaming and batch data processing patterns.
Experience with observability solutions including logging, monitoring, tracing, and performance analysis.
Experience working in cloud-based analytics and data platform environments.
Experience with CI/CD, Git-based development, testing, and deployment automation.
Experience working in Agile delivery environments.

Job Posting End Date: Friday 11th September

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Skills

Software Development

Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture

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?