Data Analytics Engineer (Hybrid)

Belfast 10 Mays Meadow, United Kingdom

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Allstate

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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 looking to expand our 360 Finance Advanced Analytics data engineering team to meet increasing demand. Our engineers work with multiple internal and external data sources to deliver data that’s readily available, easily accessible, accurate and complete.

In addition, our data engineers are responsible for building a centralized data lake/hub using the Hadoop ecosystem that will be used by Reporting & Operational Analytics teams and the Machine Learning teams.

If you are an experienced professional currently working with data, providing analytics and understand programming languages this role would offer you the opportunity to grow that skillset and broaden your knowledge / skills further.

Our goal is to leverage data and analytics to help automate and optimize the Analytics Data processes enabling our front-line employees to focus on serving our customers and delivering the most advanced claims experience on the planet.

Our data engineers are responsible for the strategy around how we bring together complex data into clean and useful data structures, making our valuable data more approachable for its users.

Key responsibilities

  • Improving data governance and quality increasing the reliability of our data 

  • Influencing the creation of a single, trusted source for key business data that can be shared across the Enterprise 

  • Responsible for designing and building new Big Data systems for turning data into actionable insights 

  • Identifying opportunities for improvement and presenting recommendations to management 

  • Developing solutions and iterates quickly to continuously improve 

  • Seeking out and evaluating emerging big data technologies and open-source packages 

  • Participating in strategic planning discussions with technical and non-technical partners 

  • Using, teaching, and supporting a wide variety of Data and Analytics tools along with programming languages to achieve results (i.e., Python, Fabric, Python, SQL, and others 

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.

  • Minimum 3 years’ experience in high-level coding such as SQL and Python and/or other scripting languages (UNIX). 

  • Experience with big data and the Hadoop HDFS ecosystem (SPARK, SQOOP, Parquet)  

  • Experience working on multiple projects and with stakeholders 

Desirable Skills

  • Experience in Fabric/Scala 

  • Exposure to streaming toolsets such as Kafka, FLINK, spark streaming 

  • Experience in Continuous Integration 

  • Working knowledge of Tableau/PowerBI 

  • Experience with Airflow 

  • Experience in a data integration, ETL and/or business intelligence/analytics related function  

  • Experience with Agile development methodologies 

  • Experience with source control solutions (ex git, GitHub, Jenkins, Artifactory) 

  • Experience with generative AI uses cases (e.g. Test summarization, Q&A systems, content generation) is a strong plus 

  • Microsoft Certified: Azure Data Engineer Associate 

  • Microsoft Certified: Azure AI Engineer Associate 

Supervisory Responsibilities

This job has no supervisory duties.

Job Posting End Date: Monday 28th July 2025 [11:59pm]

Why join us?

Allstate NI is proud to be Allstate’s European Digital Centre of Excellence—recent winners of ‘Best Use of Cloud Services’ at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility.

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 offer:

•              A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts

•              Access to world-class learning platforms and award-winning L&D

•              Clear career paths, internal mobility, and a strong focus on growth

•              A people-first culture with flexible working options

Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. 

Statement on Fair Employment and Equal Opportunities

Allstate NI wishes to ensure equal opportunity is given to all job applicants.  This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.

We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. 

Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.

Posting End Date:

29 July 2025
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Airflow Azure Big Data Business Intelligence Data Analytics Data governance Engineering ETL Finance Flink Generative AI Git GitHub Hadoop HDFS Jenkins Kafka Machine Learning Open Source Parquet Power BI Python Scala Spark SQL Streaming Tableau Teaching

Perks/benefits: Career development Flex hours Startup environment

Region: Europe
Country: United Kingdom

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