Data Engineer - Defence

IBM
Manchester
2 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer – Defence

IBM Center for Innovation (CIC) delivers deep technical and industry expertise to a wide range of public and private sector clients in the UK.


A career at IBM CIC offers the opportunity to work across multiple industries, accelerating impact, and driving meaningful change. You’ll be involved in improving the hybrid cloud and AI journey for innovative companies, supported by robust technology platforms.


Benefits

  • Extensive training opportunities, including classroom, e‑learning, mentoring, and coaching programs, and industry‑recognized certifications.
  • Regular promotion opportunities and performance checkpoints.
  • Diversity & Inclusion initiatives and Employee Champion teams.
  • Recognition programs for peer appreciation and managerial acknowledgement.
  • Work‑life balance tools, flexible working approaches, sabbatical programs, paid parental leave, and a maternity returners scheme.
  • Typical benefits: 25 days holiday (plus public holidays), online shopping discounts, Employee Assistance Program, group personal pension with 5 % of base salary paid monthly.

Your Role & Responsibilities

As Managing Data Engineer with advanced analytics expertise, you will lead the development of innovative analytics solutions, foster a culture of continuous improvement, and mentor junior engineers.


Responsibilities

  • Develop and lead cutting‑edge advanced analytics solutions for complex business problems.
  • Mentor junior data engineers and support their professional development.
  • Perform statistical analysis, data collection, data mining, and text mining.
  • Design, build, and manage solutions for advanced analytics projects.
  • Utilize predictive analytics tools (e.g., SPSS) to draw conclusions and present findings.
  • Stay abreast of emerging advanced analytics trends and technologies.

Preferred Education

Bachelor’s Degree.


Required Technical and Professional Expertise

  • Extensive experience with data engineering principles and advanced analytics techniques.
  • Proficiency in programming languages (Python, R, SQL).
  • Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
  • Strong leadership and communication skills.
  • Ability to lead cross‑functional teams and manage stakeholder expectations.

Additional Requirements

Eligible candidates must have a valid right to work in the UK, no visa sponsorship is offered, and must have lived continuously in the UK for the last 10 years and hold or be able to obtain a UK government security clearance.


Preferred Technical and Professional Experience

  • Experience with machine learning frameworks (TensorFlow, PyTorch, scikit‑learn).
  • Familiarity with big data technologies (Hadoop, Spark).
  • Background in data science, IT consulting, or a related field.
  • AWS Certified Big Data or equivalent.

Seniority Level

Mid‑Senior level.


Employment Type

Full‑time.


Job Function

Information Technology.


Industries

IT Services and IT Consulting.


As an equal‑opportunity employer, we welcome applications from individuals of all backgrounds.


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