At a Glance
- Tasks: Lead advanced analytics projects and mentor junior data engineers.
- Company: Join IBM, a leader in tech innovation and inclusivity.
- Benefits: Enjoy flexible working, generous holiday, and comprehensive health coverage.
- Other info: Flexible work options and a commitment to diversity and inclusion.
- Why this job: Make a real impact in public sector analytics while growing your career.
- Qualifications: Experience in data engineering and proficiency in Python, R, SQL required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 education
- None
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.
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.
- Demonstrated leadership and mentoring skills.
- Publication record in peer‑reviewed journals or reputable industry publications.
Security screening and background checks
- 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 Employer Statement
- 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.
Senior Data Engineer - eSC or eDV Required in Cheltenham employer: IBM
IBM is an exceptional employer that prioritises work-life balance through flexible working arrangements, generous leave policies, and comprehensive benefits including private medical cover and a robust pension plan. The company fosters a collaborative and innovative work culture, offering ample opportunities for professional growth and mentorship, particularly for those in data engineering roles within the public sector and defence environments. With a commitment to diversity and inclusion, IBM ensures that all employees can thrive and contribute meaningfully to cutting-edge analytics solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - eSC or eDV Required in Cheltenham
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We think you need these skills to ace Senior Data Engineer - eSC or eDV Required in Cheltenham
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!
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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!
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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
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✨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.
