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Data Engineer

2 months ago

Manchester, Greater Manchester, United Kingdom Mirai Talent Full time

Data Engineer

- Manchester Office - Hybrid working model, 2 days per week in the office

- £65,000 + 15%


Reporting to: Head of Data

As a Data Engineer, you will play a pivotal role in their mission to revolutionise data solutions. An SME, with a growing data department, currently at 4 data engineers and 2 analytics engineers, they are making a real impact by delivering innovative data solutions on their leading analytics platform.


You'll collaborate closely with a dynamic team of engineers, a scrum master, and business stakeholders to ensure continuous delivery of value in an agile environment.


What you'll be doing:

  • Design scalable and robust data architectures from varied source systems (APIs, web scrapers, SFTP) with a focus on security and performance.
  • Ensure prompt and efficient onboarding of client data.
  • Maintain a strong focus on software quality through collaborative code and architecture reviews.
  • Learn, adopt, and promote best practices in data engineering, including clean code principles, automated testing, and continuous integration.
  • Collaborate with your team to build new data features that meet design concepts and business requirements.
  • Define, elaborate, and refine requirements for new data features with your development squad.
  • Actively participate in regular sprint planning, ensuring all active stories and tasks are up-to-date.
  • Attend daily stand-ups, providing updates and raising critical blockers to ensure smooth progress.
  • Respond to and resolve issues and queries raised by business stakeholders.
  • Stay aware of emerging technology trends, researching and applying new ideas to improve data solutions.


What would be great to have:

  • 2+ years of professional experience as a Data Engineer/DevOps Engineer.
  • Experience with ETL/ELT workflows for data analytics utilizing Spark or Hadoop.
  • Proficiency in Microsoft Azure, including DevOps (CI/CD), Orchestration (Azure Data Factory), Storage (Azure Datalake), and Retrieval/Utilities (Azure Functions).
  • Advanced skills in Python, with the ability to write efficient functional and object-oriented code and build and maintain reusable Python libraries.
  • Bachelor's degree in Computer Science, Mathematics, or another analytical/numerical related subject.
  • Strong problem-solving and analytical skills to tackle complex data engineering challenges.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
  • Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines.


Highly Desirable Skills:

  • Experience working collaboratively as part of an Agile development squad.
  • Experience using Azure Databricks.
  • Experience with IaC tools such as Terraform/Bicep.
  • Experience with containerized services such as Docker/Kubernetes.
  • Proficiency in programming languages such as Scala, Powershell, YAML.


Benefits:

  • Excellent performance-based earning opportunity, including OKR-driven bonuses.
  • Future opportunity for equity, rewarded to high performers.
  • Personal and professional learning opportunities and growth experiences aligned with your career aspirations.
  • Quarterly values award for all employees – with a financial prize.
  • Regular company-wide socials and team-building events.
  • Commuting reimbursement for traveling to the office using public transport or parking costs.
  • Competitive pension plan, healthcare cover (after 6 months), and cycle-to-work scheme.