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Data Engineer / Data Analyst - Manchester with hybrid

Circle Recruitment
Posted a day ago, valid for 13 days
Location

Manchester, Greater Manchester M17 1DJ, England

Salary

£40,000 - £48,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Data Engineer/Data Analyst position is available in Manchester with a hybrid working model.
  • The role requires experience in ETL, ELT, and Python, with a focus on developing data pipelines and analytics.
  • Candidates should have a background in handling large datasets and familiarity with SQL, cloud technologies, and dashboard tools like Tableau or Power BI.
  • The position offers a competitive salary and opportunities for professional growth within a collaborative team environment.
  • Applicants are encouraged to apply if they have a strong problem-solving mindset and are ready to contribute to a data-driven platform.

Data Engineer / Data Analyst - Manchester (with hybrid)

Key skills - Data engineer, Data analyst, ETL, ELT, Python

Brand new role due to expansion and major contracts won! We're looking for a Data Engineer /Analyst to join and help shape the future of a data platform. You'll be working on the full data pipeline, from real-time processing and ETL (extract, transform, load) jobs to AI and data analytics, tackling large datasets and driving quality insights. If you're ready to roll up your sleeves and make data work, this might be the perfect role for you.

What You'll Be Doing:

  • Writing clean and reliable code, with tests to match.
  • Developing smart monitoring systems to spot trends and trigger alerts.
  • Creating dashboards that transform raw data into meaningful insights.
  • Reviewing your teammates' code and offering constructive feedback.
  • Partnering with stakeholders to understand project requirements.
  • Acting as the go-to person for our data platform, sharing your expertise across the team.
  • Constantly assessing and improving the data pipeline's design and performance.
  • Contributing to project designs and architecture, always with an eye on the bigger picture.

What You'll Bring:

  • Strong problem-solving skills-you enjoy figuring things out.
  • Experience with SQL and Python.
  • Familiarity with dashboards like AWS QuickSight, Tableau, Power BI, or similar.
  • Understanding of database concepts and standards.
  • Willingness to pick up new tech and ways of working.
  • A good grasp of agile practices like continuous integration and automated testing.
  • Team spirit-a positive attitude and a readiness to help out.
  • Some experience with cloud tech, ideally AWS.
  • Background in handling large datasets.
  • Knowledge of Git, Jenkins, and CI/CD tools.
  • Comfortable building and launching your own software projects.

What's on Offer:

  • Competitive salary and bonus.
  • Room to grow professionally and develop your skills.
  • Flexible work setup, including remote work options.
  • Supportive team culture that values collaboration.

Ready to level up your career? Apply now and become part of a team that's making big data a little more manageable! Send your CV to jon.brass @ circlerecruitment .com

Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.