At a Glance
- Tasks: Join our Data Engineering team to solve complex business problems using advanced analytics.
- Company: IBM Consulting UK FutureNow, a leader in hybrid cloud and AI.
- Benefits: Flexible working, 25 days holiday, private medical cover, and continuous learning support.
- Other info: Diverse and inclusive workplace with excellent career progression opportunities.
- Why this job: Make a real impact with cutting-edge tech while growing your career in a dynamic environment.
- Qualifications: Familiarity with data engineering, programming skills in Python, R, SQL, and strong analytical abilities.
The predicted salary is between 35000 - 45000 £ 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.
We offer:
- 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.
Your role and responsibilities:
Join our dynamic Data Engineering team as a Junior Data Engineer with Advanced Analytics expertise! In this role, you'll 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.
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.
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).
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.
IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer - AI employer: IBM Computing
At IBM Consulting UK FutureNow, we pride ourselves on being an exceptional employer that champions innovation and professional 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 make a meaningful impact in the field of AI and data engineering, all while enjoying a supportive environment that values your unique contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - AI
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at IBM or in data engineering. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, R, or SQL. Share your work on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by practicing common data engineering problems and algorithms. Don’t forget to brush up on your predictive analytics tools like SPSS. Confidence and preparation are key to impressing your interviewers!
✨Apply Through Our Website
Make sure to apply directly through the IBM Careers page. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team!
We think you need these skills to ace Data Engineer - AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Engineer - AI. Highlight your experience with programming languages like Python, R, and SQL, and don’t forget to mention any familiarity with predictive analytics tools like SPSS.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your skills align with the responsibilities outlined in the job description. Be genuine and let your personality come through!
Showcase Relevant Projects:If you've worked on any projects that involve data manipulation, statistical analysis, or machine learning, make sure to include them in your application. This will give us a clear picture of your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at IBM Computing
✨Know Your Tech
Make sure you brush up on your programming languages like Python, R, and SQL. Be ready to discuss how you've used these in past projects or coursework, especially in relation to data manipulation and analysis tools like Pandas and NumPy.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex business problems you've tackled using mathematical approaches or predictive analytics. Highlight your analytical skills and how you’ve applied them in real-world scenarios, particularly with tools like SPSS.
✨Familiarise Yourself with Big Data
Since the role involves advanced analytics, it’s crucial to understand big data technologies like Hadoop and Spark. Be ready to discuss any experience you have with these frameworks and how they can be applied to solve business challenges.
✨Emphasise Continuous Learning
IBM values curiosity and continuous learning, so share your commitment to professional development. Talk about any relevant courses, certifications, or personal projects that demonstrate your eagerness to grow in the field of data engineering and AI.