Data Engineer

Ref: ZR_6252_JOB  ·  Posted on 16 July 2021

Introduction

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 analysed, 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 Agile Python Java SQL

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