Senior Data Engineer - Hybrid

Senitor Associates
Manchester
2 months ago
Applications closed

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Our client, a leading player in SaaS and custom applications, is seeking a capable and technically skilled Senior Data Engineer to join their growing and dynamic team. With a culture built on trust and autonomy, this company is experiencing exciting growth, offering an excellent opportunity for someone to join a fast-paced business with a proven track record of long-term employee satisfaction and success.

This position is a leading role in the Data Engineering team, developing, maintaining and improving the end-to-end data pipeline. This role will be responsible for performing DevOps, Backend and Cloud development on the data infrastructure, working on complex data problems in a dynamic and challenging environment.

Responsibilities

  • Large and complex dataset analytics
  • Writing application code and tests that adheres to company standards
  • Developing infrastructure, automation and scheduling scripts for reliable data processing
  • Continually evaluating and contributing towards cutting-edge tools and technologies to improve the data platform
  • Supporting the production systems running the deployed data software
  • Reviewing colleagues’ work regularly and providing constructive feedback
  • Working with stakeholders to fully understand requirements
  • Being the subject matter expert for the data platform, presenting knowledge to others

Your required skills:

  • Knowledge of AWS or equivalent cloud technologies
  • Knowledge of Serverless technologies, frameworks and best practices
  • Apache Spark (Scala or Pyspark)
  • Experience using infrastructure automation tools, such as AWS CloudFormation or Terraform
  • Knowledge of Scala or OO language, such as Java or C#
  • Knowledge of agile development practices, including continuous integration, automated testing and working with requirements and specifications
  • Interpersonal skills, positive attitude and willingness to help others in the team
  • Experience debugging and dealing with failures on business critical systems
  • Exposure to Apache Spark, Apache Trio or other big data processing systems
  • Experience with streaming data principles and best practices
  • Understanding database technologies and standards
  • Exposure to data engineering practices used in Machine Learning training and inference
  • Experience with using Git, Jenkins and other CI/CD tools

Benefits

  • Performance-based bonus scheme to reward your contributions
  • Flexibility to choose the tech that works best for you – ability to source and integrate it within the company
  • One-on-one coaching and a training budget to support your continuous growth
  • Free parking and secure bike shed, with excellent public transport access
  • Full home office setup (desk, screen, chair) provided
  • Flexible working hours to accommodate your personal needs

If you’re looking to leverage your skills with hands-on impact, and take a senior role in supporting a growing technical team in SaaS, apply now!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT System Data Services and IT System Custom Software Development

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