At a Glance
- Tasks: Lead advanced analytics projects and mentor junior engineers in innovative data solutions.
- Company: Join IBM Consulting UK, a leader in tech innovation and analytics.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact in the public sector with cutting-edge data solutions.
- Qualifications: Experience in data engineering, programming (Python, R, SQL), and strong leadership skills.
The predicted salary is between 55000 - 65000 £ per year.
Overview
Senior Data Engineer – Advanced Analytics at IBM Consulting UK FutureNow. You will lead advanced analytics projects, mentor junior engineers, and drive innovation in data solutions for public and private sector clients.
Responsibilities
- Lead the development of advanced analytics solutions for complex business problems.
- Mentor junior data engineers, providing guidance and support in their professional development.
- Perform statistical analysis, data collection, data mining, and text mining.
- Design, build, and manage solutions for advanced analytics projects.
- Utilise predictive analytics tools (SPSS) to draw conclusions and present findings.
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.
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, which could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
EEO Statement
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 the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer - Public Sector in Winchester employer: IBM
At IBM Consulting UK, we pride ourselves on fostering a dynamic work environment that encourages innovation and professional growth. As a Senior Data Engineer, you will not only lead cutting-edge analytics projects but also have the opportunity to mentor junior engineers, enhancing your leadership skills while contributing to meaningful solutions for public sector clients. Our commitment to diversity and equal opportunity ensures a supportive culture where every employee can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Public Sector in Winchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events. The more people you know, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine and show potential employers what you can do!
✨Ace the Interview
Prepare for those interviews by practising common questions and scenarios related to data engineering. Don’t forget to highlight your leadership skills and how you can mentor others – it’s a big plus for roles like this!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you a better chance but also keeps you in the loop about any updates or opportunities that come up!
We think you need these skills to ace Data Engineer - Public Sector in Winchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data engineering principles and advanced analytics techniques, as well as any relevant programming languages like Python, R, and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your ability to lead advanced analytics solutions. Mention any mentoring experiences too, as we value leadership and support for junior engineers. Let us know how you’ve driven innovation in your past roles!
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to complex topics like data analysis and predictive tools.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at IBM
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering principles and advanced analytics techniques. Be ready to discuss your experience with programming languages like Python, R, and SQL, as well as tools like Pandas and NumPy. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to share examples of how you've led teams or supported others in their professional development. Highlight any experiences where you’ve successfully managed stakeholder expectations or driven innovation in projects.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis, data mining, and predictive analytics tools like SPSS. Practise explaining complex concepts in a simple way, as this will demonstrate your communication skills and ability to convey information to non-technical stakeholders.
✨Familiarise Yourself with Big Data Technologies
If you have experience with big data technologies such as Hadoop or Spark, make sure to mention it. Even if you don’t, showing an understanding of these frameworks and how they relate to the role can set you apart. It’s all about demonstrating your eagerness to learn and adapt!
