Data Analytics Engineer

Location UK / Belfast

Job Type Permanent full-time

Salary Not disclosed

Updated 5 days ago

Reference 1444902

 Job Description

Excellent opportunity for Data Analytics Engineer based in Belfast.


Title: Data Analytics Engineer

Ref: 10/1/DAE

Think Technology- Think Allstate

We build solutions that touch 16 million customers on a daily basis.

You will work alongside people as passionate as you, focused on delivering the best possible user experiences.

You will work in a highly collaborative environment primed to adapt to an ever-changing landscape and which places technology solutions at its core.

You will thrive, you will think differently, you will challenge convention and have the freedom to act with integrity, intention and speed; you will be at the forefront of developing capabilities in support of Allstate’s global business model; you will deliver results and you will leave things better than you found them.

Location: Belfast

Job Description

Our mission is to make Allstate a data-driven organisation. Data Engineers play an essential part in making this a reality and we’re hiring for this role at all levels. At junior levels, we’re looking for those with a passion for finding great solutions to complex problems, and enthusiasm for quickly learning whatever technology is right for the job. At senior levels, we’re looking for experienced developers with the vision and expertise required for designing and delivering challenging and varied data projects. At all levels, we look for people who collaborate and communicate exceptionally well.

Research at Allstate

Allstate is one of the largest car and home insurers in the US, serving more than 16 million households and earning over $35 billion in revenue annually. We’re also widely recognized as one of the best places to work in Northern Ireland. At Allstate we’re on a mission to use data, math and machine learning to directly shape every aspect of how we operate. Of course, when working with hundreds of millions of data points, computer science and programming also play an essential role. The research group has over 100 exceptional data engineers and scientists based in Belfast, Chicago, Seattle and Silicon Valley. It’s a great place to be if you’re interested in solving business problems, actually using the math you’ve learnt (like linear algebra, calculus, stats and probability), and programming.

 

Example projects

The D3: Data, Discovery & Decision Science department is a central team that supports all areas of the enterprise. There are many R&D projects in progress, each with unique and complex data requirements. Here are just a few examples:

  • Distributed processing of real-time data streams from connected vehicles
  • RDBMS to distributed graph with Apache Spark (Scala) and Tinkerpop for fraud detection
  • Natural language processing for customer sentiment analysis
  • RDBMS to hierarchical json model with Python streaming on Hadoop creating master analytics data lake
  • Entity resolution with PySpark for customer retention modelling
  • Hive and Impala for data pipelines feeding extreme-weather risk models
  • Curation of image dataset for deep learning research on claim evidence

Responsibilities include (but aren’t limited to):

  • Design and build petabyte-scale data pipelines using Apache Spark, Hadoop, Python, Scala, SQL or simply put, whatever technology is best.

Essential Criteria

Junior Level

  • First class degree (attained or expected) in computer science, software engineering, physics, mathematics or similar field
  • Must be an EU citizen or possess a UK Tier 1 visa which entitles the holder to take up full time employment in the UK and must be eligible to travel to the US

Senior Level

  • At least three years of experience working with sophisticated data pipelines (either PhD or in industry)
  • 2:1-degree classification or higher in computer science, software engineering, physics, mathematics or similar field
  • Must be an EU citizen or possess a UK Tier 1 visa which entitles the holder to take up full time employment in the UK and must be eligible to travel to the US

Desirable Criteria

  • Master’s degree
  • Experience in any of the following:Distributed computing or big data frameworks such as Spark, Mesos or Hadoop, Linux and shell scripting, Data formats such as JSON, XML, Parquet or Avro, ETL software such as Ab Initio, Informatica or CloverETL, The use of machine learning or statistics to solve real-world problems

To Apply please click the APPLY NOW button below to be directed to our website.

Closing Date:  Tuesday 15th October 2019

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.