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
We are looking for a highly skilled Data Platforms Data Engineer to design and implement advanced data engineering solutions across complex environments.
You will develop applications using Big Data technologies, building APIs and data pipelines that enable robust data integration and analytics. Your expertise in DataStage, Redshift, S3, and QuickSight will be essential for developing scalable data warehouses and dashboards. You will also apply your knowledge of analytics libraries, open-source Natural Language Processing, and statistical computing to enhance data insights.
Working in an Agile environment, you will ensure data quality, security, and performance optimisation across all systems. This is a hands-on technical role requiring deep coding expertise and innovation in data platform engineering.
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.
ABOUT BUSINESS UNIT
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. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
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 1911, 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.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
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.
OTHER RELEVANT JOB DETAILS
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.
Job Title
Data Engineer - Public Sector
Job ID
75695
City / Township / Village
London
State / Province
London, City of
Country
United Kingdom
Work arrangement
Hybrid
Area of work
Data & Analytics
Employment type
Regular
Position type
Professional
Up to 80% or 4 days a week (home on weekends - based on project requirements)
Company
Shift
General (daytime)
Is this role a commissionable/sales incentive based position?
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