At a Glance
- Tasks: Lead innovative data projects and mentor junior engineers in the public health sector.
- Company: Join IBM CIC, a leader in tech solutions for public and private sectors.
- Benefits: Enjoy flexible working, 25 days holiday, and professional development opportunities.
- Other info: Diverse teams, continuous learning, and excellent career growth await you.
- Why this job: Make a real impact on public health with cutting-edge Azure technologies.
- Qualifications: Experience in data engineering, programming, and strong leadership skills required.
The predicted salary is between 36000 - 60000 £ per year.
At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms. Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market. You’ll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.
We Offer
- Many training opportunities from classroom to e‑learning, mentoring and coaching programs and the chance to gain industry recognised certifications.
- Regular and frequent promotion opportunities to ensure you can drive and develop your career with us.
- Feedback and checkpoints throughout the year.
- Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks.
- A culture where your ideas for growth and innovation are always welcome.
- Internal recognition programs for peer‑to‑peer appreciation as well as from manager to employees.
- 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 personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
Your Role And Responsibilities
Step into a dynamic role as an Azure Data Engineer supporting IBM and public health sector initiatives. In this position, you will lead complex data and analytics projects, drive technical innovation, and provide guidance to junior team members.
Responsibilities
- Lead the design and development of Azure‑based data and analytics solutions to address complex challenges in the public health sector.
- Mentor and support junior data engineers in building their technical and professional skills.
- Perform statistical analysis, data collection, data mining, and text mining to support data‑driven decision‑making.
- Architect, build, and manage end‑to‑end data solutions for analytics and reporting.
- Use advanced analytics and predictive tools, such as SPSS, to generate insights and communicate findings effectively.
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.
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.
Desirable Certifications
- Azure Data Engineer Associate (DP‑203)
- Azure Fundamentals (AZ‑900), or equivalent.
Azure Data Engineer - Public Sector in Manchester employer: IBM
At IBM CIC, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through extensive training opportunities, regular promotions, and a strong focus on diversity and inclusion. With flexible working arrangements and a comprehensive benefits package, including generous leave policies and health coverage, we ensure our employees thrive both professionally and personally in the dynamic public sector landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer - Public Sector in Manchester
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We think you need these skills to ace Azure Data Engineer - Public Sector in Manchester
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.
