Financial Data Engineer (hybrid or remote)

Date Opened: Jan 16, 2023

Location: Belfast, GB Derry/ Londonderry, GB Strabane, GB

Company: Allstate Insurance Company

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

 

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 have an understanding of 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.

 

 

 

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, Hadoop, HIVE, Scala, Impala, Java, Python, SQL, R and others)

 

 

So, what are the essential criteria to apply?

 

  • All candidates must evidence an existing right to work in the UK
  • Undergraduate degree in Computer Science, Mathematics, Engineering (or related field) or equivalent experience preferred
  • 1 years experience with big data and the Hadoop HDFS ecosystem
  • Experience in developing, managing, and manipulating large, complex datasets
  • Experience of coding skills such as SQL and Python and/or other scripting languages (UNIX).

 

 

We also have some desirable criteria

 

  • Experience in Scala
  • Experience with non-structured databases (Mongo)
  • Working knowledge of Tableau
  • Experience with Airflow
  • Experience in a data integration, ETL and/or business intelligence/analytics related function

 

 

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 Monday 30th January 2023

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