At a Glance
- Tasks: Lead advanced analytics projects and mentor junior engineers while solving complex business challenges.
- Company: Join IBM Consulting UK, a leader in hybrid cloud and AI solutions.
- Benefits: Enjoy flexible working, 25 days holiday, private medical cover, and more.
- Other info: Work hybrid, collaborate with top professionals, and access excellent career growth opportunities.
- Why this job: Make a real impact with cutting-edge tech and grow your career in a dynamic environment.
- Qualifications: Experience in data engineering, programming skills in Python, R, SQL, and strong leadership abilities.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
IBM Consulting UK FutureNow – 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.
Responsibilities
- Lead the development of advanced analytics solutions to address complex business challenges within public sector and defence environments.
- Mentor and support junior data engineers in their professional growth.
- Conduct statistical analysis, data collection, data mining and text mining activities.
- Design, build and oversee solutions for advanced analytics projects.
- Use predictive analytics tools such as SPSS to draw insights and communicate findings.
- Stay current with emerging trends and technologies in advanced analytics, helping to drive innovation across the organization.
Required Qualifications
- 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.
Preferred Qualifications
- Experience with machine learning frameworks TensorFlow, PyTorch, scikit-learn.
- Familiarity with big data technologies Hadoop, Spark.
- Background in data science, IT consulting or related field.
- AWS Certified Big Data or equivalent.
- Demonstrated leadership and mentoring skills.
- Publication record in peer‑reviewed journals or reputable industry publications.
Education
- Required: None.
- Preferred: Bachelor’s Degree.
Benefits
- Tools and policies to support work‑life balance: flexible working approaches, sabbatical programmes, paid paternity leave, maternity leave and an innovative maternity returners scheme.
- Traditional benefits: 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Programme, life assurance and a group pension plan through salary sacrifice.
Pre‑employment 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, possibly requiring eligibility for the Security Check (SC) or Developed Vetting (DV).
Equal Opportunity Employer
IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data & Analytics Senior Data Engineer - eSC or eDV Required Professional Multiple Cities in London employer: IBM
At IBM Consulting UK, we pride ourselves on being an exceptional employer that champions innovation and professional growth. Our collaborative work culture fosters a supportive environment where you can lead advanced analytics projects while mentoring junior engineers, all within a flexible hybrid working model that promotes work-life balance. With comprehensive benefits and the opportunity to work on impactful programmes across public and private sectors, you'll find meaningful and rewarding employment that accelerates your career in cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Senior Data Engineer - eSC or eDV Required Professional Multiple Cities in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IBM!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & Analytics Senior Data Engineer - eSC or eDV Required Professional Multiple Cities at IBM.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IBM.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Analytics Senior Data Engineer - eSC or eDV Required Professional Multiple Cities at IBM, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data & Analytics Senior Data Engineer - eSC or eDV Required Professional Multiple Cities in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IBM, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IBM. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IBM
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IBM!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
