Senior Data Engineer - Fraud Technology (hybrid or remote)

• About Us

   

  The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

   

  You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.

   

  Allstate operate a very flexible hybrid working policy that will allow you to design your working week in collaboration with your manager with a blend of remote and office working for NI based employees as well as condensed working patterns (4 day week/9 day fortnight). Employees based in GB will be employed on a permanent remote working contract.

   

  Join our team and you’ll find challenge and reward in a culture of innovation, support and balance. 

   

   

  Location

   

   

  Belfast/ Derry-Londonderry/ Strabane/ Remote, GB

   

   

  Your role in the team

   

   

  As a Data Engineer in the D&IS (Data & Intelligent Systems) Enterprise Fraud Team you'll be responsible for the development of data pipelines within the Enterprise Fraud Team, to equip our D3 (Data Discovery & Decision Science) Data Science partners with the datasets they need for modelling. You will also work Closely with Our Business Partners to provide them data required to alert them to potential Fraud within the Allstate Ecosystem. This position will also naturally expose you to a wide variety of problem domains requiring you to be an avid and versatile learner eager to grow, collaborate, and develop with the team.                                         

   

   

  Responsibilities include (but are not limited to)

   

  • Researching and evaluation of new tools and technologies to solve business problems
  • Responsible for designing and building platforms for analyzing data into actionable Fraud insights
  • Translate business concepts into technical implementations
  • Work on a geographically dispersed team embracing Agile and DevOps
  • Participate in strategic planning discussions with technical and non-technical partners
  • Effective and efficient utilization of Data Engineering tools and techniques
  • Provide expert advice to our clients.
  • Mentors’ others and continually develops themselves.

   

   

   

  So, what are the essential criteria to apply?

   

   

  • All candidates must evidence an existing right to work in the UK'
  • 4+ years’ experience coding and in languages such as Python, SQL.
  • 2+ years’ experience of Linux (Red Hat or Ubuntu)
  • Experienced in the development of modern data engineering solutions, including the implementation and operation of data analytics, either on-prem or in the cloud
  • Experienced in working in a modern data practice, alongside data scientists and data platform specialists.
  • Fluent in data engineering concepts, such as data lakes, data features, data streaming/pipelines, data warehousing/marts, distributed analytics, and edge computing
  • Experienced in being the design authority for data engineering solutions or data analytics
  • A mentor and a coach for more junior data engineers on the team, capable of peer reviewing the work of others in a collaborative way

   

  We also have some desirable criteria

   

  • Experienced in leading a small data engineering capability or team
  • Expert in PySpark
  • ETL Technologies.
  • NoSQL databases (e.g., Mongo, Cassandra).
  • Data Visualization with technologies such as Tableau or Power BI
  • Hadoop and associated technologies (e.g., Hive / Impala, Spark).
  • Kafka and streaming technologies (e.g., Kafka Streams, Kafka Connect, Apache Flink).

   

   

  What we offer

   

  As Digital DNA’s Workplace of the Year 2020 & 2022 winners, we offer a generous benefits package that includes flexible annual leave entitlement, dental and healthcare insurance, an attractive pension package and discounts on gym memberships, public transport and parking.

   

  Allstate invests heavily in your development, as an employee you will have access to multiple world-class learning platforms and courses from our award-winning in-house Learning & Development team.

   

  We pride ourselves in providing clear career paths and opportunities for internal mobility allowing you to further develop within the organisation.

   

  We encourage a better work life balance and you’ll have the opportunity to apply for various flexible working arrangements.

   

   

  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.

   

   

  The closing date for receipt of applications is Tuesday 16th August 2022