Data Engineer - DIT Professional Services
At IBM CIC, we deliver deep 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 visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom 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.
Benefits
- 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
- More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
Responsibilities
We\'re seeking a Data Engineer to significantly contribute to our data integration efforts. In this role, you\'ll lead smaller projects, guide junior engineers, and shape our technical direction in data integration practices. You will actively participate in the entire data integration lifecycle, focusing on extracting, transforming, and loading data from diverse sources into our data warehouse using modern data integration tools and methodologies.
- Project Leadership: Lead smaller projects from design through deployment, showcasing strong technical and project management skills.
- Mentorship: Guide and support Junior Data Engineers, fostering their growth and development.
- Technical Leadership: Contribute to the definition of our data integration practices and the technical vision of our data warehouse.
- Quality Assurance: Ensure all ETL processes meet high standards for reliability, maintainability, and performance.
- Complex Problem Solving: Tackle and resolve intricate technical challenges, applying your deep expertise in data integration.
Education
Bachelor\'s Degree
Required technical and professional expertise
- Technical Expertise: Advanced knowledge of databases, data modelling, and SQL, along with experience with data integration tools (e.g., Informatica, Talend, Pentaho).
- Leadership: Demonstrated leadership qualities, with a proven track record of guiding teams and delivering projects.
- Problem-Solving: Exceptional problem-solving capabilities, with a history of effectively addressing and resolving complex engineering challenges in data integration.
- Communication: Excellent verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders.
- Security: Understanding of data security principles in data integration and experience with data governance practices.
Preferred technical and professional experience
- Experience with cloud-based data storage and processing (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics).
- Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
- Knowledge of data quality and metadata management practices.
- Understanding of data virtualisation and data federation techniques.
- Experience with big data technologies (e.g., Hadoop, Spark).
Seniority level
Employment type
Job function
Industry
- IT Services and IT Consulting
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