Data Engineer - AI

Data Engineer - AI

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
IBM

At a Glance

  • Tasks: Solve complex business problems using data and advanced analytics tools.
  • Company: Join IBM Consulting UK, a leader in hybrid cloud and AI.
  • Benefits: Enjoy flexible working, 25 days holiday, and comprehensive health coverage.
  • Other info: Flexible work environment that values your unique contributions.
  • Why this job: Make a real impact while collaborating with top industry professionals.
  • Qualifications: Bachelor's degree and skills in Python, R, SQL, and data engineering.

The predicted salary is between 50000 - 70000 £ per year.

At IBM Consulting UK FutureNow, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You’ll collaborate with top industry professionals, gain hands-on experience with cutting-edge technologies, and deliver solutions that create real business impact. From day one, you’ll work on meaningful, high-profile programmes that stretch your skills and accelerate your growth. We invest heavily in you—supporting continuous learning, in-demand skills development, and long-term career progression. You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.

Benefits:

  • Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme.
  • More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.

Role Description:

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. You will play a vital part in formulating mathematical approaches to solve complex business problems, gathering and preparing data, and utilizing predictive analytics tools like SPSS to draw conclusions and present findings.

Responsibilities:

  • Formulate mathematical approaches to address complex business problems.
  • Gather and prepare data for advanced analytics projects.
  • Perform statistical analysis, data collection, data mining, and text mining.
  • Design, build, and manage solutions for advanced analytics projects.
  • Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.

Preferred Education:

Bachelor’s Degree

Required Technical and Professional Expertise:

  • Familiarity 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 analytical and problem-solving skills.

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.

Background & Screening:

This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).

Flexible Working:

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Equal Opportunity:

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Data Engineer - AI employer: IBM

At IBM Consulting UK FutureNow, we pride ourselves on being an exceptional employer that champions innovation and personal growth. Our flexible and inclusive work culture fosters collaboration with industry leaders while providing extensive benefits such as generous leave policies, comprehensive health coverage, and continuous learning opportunities. Join us to work on impactful projects in a supportive environment that values your unique contributions and encourages your professional development.

IBM

Contact Details:

IBM Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer - AI

Tip Number 1

Network like a pro! Reach out to professionals in the data engineering field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you’d tackle complex business problems.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Engineer - AI

Data Engineering Principles
Advanced Analytics Techniques
Python
R
SQL
Data Manipulation
Pandas

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with programming languages like Python, R, and SQL, and showcase any relevant projects that demonstrate your data engineering skills.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data engineering. Mention specific experiences that align with the responsibilities listed in the job description.

Showcase Your Skills:Don’t just list your skills—show us how you’ve used them! Include examples of how you've tackled complex business problems using data analytics tools like SPSS or frameworks like TensorFlow.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on the path to joining our team!

How to prepare for a job interview at IBM

Know Your Tech

Make sure you brush up on your programming languages like Python, R, and SQL. Familiarity with data engineering principles and advanced analytics techniques will definitely give you an edge. Be ready to discuss how you've used these tools in past projects.

Showcase Your Problem-Solving Skills

Prepare examples of how you've formulated mathematical approaches to solve complex business problems. Think about specific challenges you've faced and how you gathered and prepared data to tackle them. This will demonstrate your analytical mindset.

Familiarise Yourself with Predictive Analytics Tools

Since the role involves using tools like SPSS, make sure you can talk confidently about your experience with predictive analytics. If you’ve worked with machine learning frameworks or big data technologies, be ready to share those experiences too!

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.