Data Engineer

Ref: ZR_6385_JOB  ·  Posted on 11 October 2021


Our client is currently recruiting for people to work in the Defence and Aerospace domains.

Our client offers a range of independent and unbiased advice in engineering, technical and strategic advisory services to a wide breadth of markets and clients.

The role:

  • You will be responsible for interpreting large volumes of data and maintaining pipelines to support creation of the digital solutions.
  • You will apply a strong expertise in developing, maintaining, and testing infrastructures, transforming data into a format that can be easily analyzed, and architecting solutions for data scientists that enable them to do their jobs.
  • You will join an expanding and diverse team where you will be given the opportunity to gain a wide range of experience, develop your skills and have lots of fun in the process.
Key responsibilities
  • Create and maintain optimal data architectures and pipelines.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Discover opportunities to acquire new data from other systems.
  • Develop and improve data set processes for data modeling, mining, and production.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Recommend and implement ways to improve data reliability, efficiency, and quality.
  • Work with Data Scientists to build analytics tools that utilize the data pipeline to provide actionable insights into asset management, operational efficiency, and other key business performance metrics.
  • Collaborate with stakeholders including the Product owner, data science, and design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing the products that help business achieving their goals.
Skills & experience
  • Degree or equivalent in a relevant subject e.g. Computer Science, Information Systems, or related Technical Discipline.
  • Deep knowledge of SQL, Cloud based data pipelines, architectures, and data sets.
  • Experience working with big data tools such as Hadoop, Spark is required.
  • Experience working with large data sets, data pipeline and workflow management tools, Azure cloud services, and stream-processing system.
  • Experience working in an agile environment or organizations with an agile culture.
  • A professional attitude and an ability to think outside of the box to solve complex challenges.
  • Background in programming in Python, Scala, C, C++, or Java would be beneficial.
  • Good written and verbal communication skills along with strong desire to work in cross-functional teams.


Additional benefits
  • Pension Plan
  • Life Assurance – Life assurance will be 4 x salary for new starters, whether or not they are in a pension scheme.
  • Holidays – Basic entitlement 25 days with option to buy an additional 15 days or to sell 5 days.
  • Income Protection – All annual salaried UK employees who are aged between 16 to state pension age except casual employees who are hourly paid.
  • Professional Fees – Annual subscription reimbursed for membership of a professional body relevant to your role with the client.
  • Season Ticket Loan – All UK employees are eligible on successful completion of their probationary period.
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Permanent Data Engineering Modelling Java Python

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