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- Tasks: Design and implement advanced data engineering solutions using Big Data technologies.
- Company: Join IBM CIC, a leader in tech innovation and consulting.
- Benefits: Flexible working, training opportunities, and career growth support.
- Why this job: Make a real impact on public sector clients with cutting-edge technology.
- Qualifications: Proficiency in Java, SQL, and AWS tools like Redshift and S3.
- Other info: Diverse teams, creative solutions, and a culture of continuous learning.
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 recognized 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
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities:
- Design and develop data pipelines and APIs using Big Data technologies.
- Implement and optimise ETL processes for batch and real-time data flows.
- Develop data warehouse solutions using Redshift and DataStage.
- Build dashboards and analytical reports using QuickSight.
- Apply DevSecOps practices to automate and secure data workflows.
Required education: None
Preferred education: Bachelor's Degree
Required technical and professional expertise:
- Strong proficiency in Java, SQL, and data pipeline development.
- Expertise in AWS data tools such as Redshift, S3, and QuickSight.
- Experience with DataStage or similar ETL frameworks.
- Knowledge of analytics libraries and open-source NLP tools.
- Familiarity with GitHub/GitLab and Agile development practices.
- Experience with data migration/ETL both batch and real time, data warehouse development, DevSecOps, Java, SQL, relational databases.
As an equal opportunities employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 5 years.
Preferred technical and professional experience:
- Experience with Python or Spark for data processing.
- Understanding of data security and compliance frameworks.
- Background in statistical computing or machine learning integration.
- Exposure to containerisation or CI/CD pipelines.
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration.
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since its inception, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
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.
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.
Data & Analytics Data Engineer - Public Sector Professional London, Gb in England employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Data Engineer - Public Sector Professional London, Gb in England
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their needs. We want to see your passion!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data & Analytics Data Engineer - Public Sector Professional London, Gb in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Big Data technologies, data pipelines, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention your familiarity with tools like Redshift and QuickSight.
Showcase Your Technical Skills: In your application, don't forget to showcase your technical skills, especially in Java, SQL, and AWS tools. We love seeing specific examples of how you've used these skills in past roles or projects.
Apply Through Our Website: We encourage you to apply 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 candidates who take that extra step!
How to prepare for a job interview at IBM
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Big Data technologies, especially DataStage, Redshift, S3, and QuickSight. Be ready to discuss how you've used these tools in past projects and be prepared to answer technical questions that test your understanding.
✨Showcase Your Problem-Solving Skills
IBM values creativity and innovation, so think of examples where you've tackled complex data challenges. Prepare to explain your thought process and the steps you took to arrive at a solution, especially in an Agile environment.
✨Demonstrate Your Curiosity
Since curiosity is key to success at IBM, come prepared with questions about the role, team dynamics, and the company's approach to technology. This shows you're genuinely interested and eager to learn more about the position and the company culture.
✨Emphasise Team Collaboration
Highlight your experience working in diverse teams and how you’ve contributed to collaborative projects. Be ready to discuss how you handle feedback and work towards common goals, as teamwork is essential in this role.
