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Data Analytics Engineer

Ikhoi Recruitment
Posted a day ago, valid for a month
Location

Manchester, Greater Manchester M17 1TT, England

Salary

£40,000 - £48,000 per annum

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Contract type

Full Time

Life Insurance

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 Digital Market Research company in Manchester is seeking an Analytics Engineer with a passion for insights.
  • The role requires a minimum of 3 years of experience in data analytics and offers a salary of £40,000 to £50,000.
  • This hybrid position includes excellent benefits such as 5 days of paid holiday plus bank holidays, life insurance, and a performance-based bonus scheme.
  • Candidates should have skills in SQL, Python, and experience with dashboard tools like AWS QuickSight or Tableau, along with a willingness to learn new technologies.
  • The successful applicant will work in a dynamic team environment focused on developing and improving the end-to-end data pipeline.

A great Digital Market Research company based in Manchester is looking for a talented Analytics Engineer who loves insights. This role is working across great clients and projects.

Fantastic Benefits. This role is hybrid.

  • 5 days paid holiday plus bank holidays
  • Purchase/sale of up to 5 leave days pa - after 2 years’ service
  • Life insurance
  • Workplace pension with employer contribution
  • Performance based bonus scheme
  • Informal dress code
  • Cycle to work scheme
  • Branded company merchandise
  • New company laptop
  • One to one learning and development coaching sessions
  • Support and budget available for training programmes
  • 'Giving back’ to charities

Manchester Office

  • A dynamic and friendly office in Trafford Park with free parking and secure bike shed
  • Variety of working environments - standing desks soft seating desks
  • Seasonal office events
  • RealityHive social events
  • Free breakfast fruit tea coffee juice snacks
  • Manchester office - daily visit from local restaurant 'Green Fork’ for lunch and snack purchase
  • Vending machines
  • On site showers

The ideal Data Analytics Engineer will have...

  • The ability to problem solve.
  • SQL and Python development experience.
  • Experience developing AWS QuickSight Tableau Power BI or similar dashboards.
  • Understanding of database technologies and standards.
  • Willingness to learn new technologies and methodologies.
  • Knowledge of agile software development best practices including continuous integration automated testing and working with software engineering requirements and specifications.
  • Good interpersonal skills positive attitude and willing to help other members of the team.
  • Exposure to AWS or equivalent cloud technologies.
  • Experience working on large and complex datasets.
  • Knowledge of data engineering and software development best practices.
  • Understanding of Git Jenkins and other CI/CD tools.
  • Experience developing and deploying their own software.

You will be working in the Data Engineering team whose main function is developing maintaining and improving the end-to-end data pipeline at RealityMine that includes real-time data processing; extract transform load jobs artificial intelligence and data analytics on a complex and large dataset.

Your role will primarily be to build insightful analytics monitoring and alerting systems and dashboards to support the growth of the data pipeline and enable high quality analytics of our datasets to assist our data products teams detect trend changes and ensure stability across our key data points. This will be done by designing and building innovative analytical solutions and implementing the end-to-end development from requirements gathering planning and writing code to testing and deployment.

If you'd like to be part of this great exciting Data Team please email your CV today!

Apply now in a few quick clicks

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.