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.
We are looking for a highly skilled Senior AWS Data Engineer to design and deliver advanced data engineering solutions on the AWS platform. You will architect and build batch and real-time data pipelines using AWS services such as Glue, EMR, Kinesis, and Redshift. Your expertise in Python or Spark will be key to developing scalable and efficient data transformations for data lakes and warehouses. You will ensure data quality, security, and performance optimisation across all AWS components. Working closely with cross‑functional teams, you will design data models, manage ETL processes, and contribute to data architecture decisions. This is a hands‑on technical role that combines engineering excellence with innovation in cloud‑based data solutions.
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
- 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.
Responsibilities
- Design and implement robust batch and real‑time data pipelines using AWS Glue, EMR, and Kinesis.
- Develop and maintain data layers across Redshift, Aurora, and DynamoDB.
- Optimise data performance and ensure compliance with AWS security standards.
- Automate data workflows using Lambda and orchestration tools like Airflow or dbt.
- Collaborate with data scientists, analysts, and architects to deliver end‑to‑end solutions.
Required Technical and Professional Expertise
- Strong proficiency in AWS data ecosystem (Glue, Redshift, EMR, Kinesis, S3).
- Expertise in Python, SQL, or Scala for data processing.
- Knowledge of data warehouse and data lake architecture.
- Understanding of data security, compliance, and performance tuning on AWS.
- Excellent communication and Agile collaboration skills.
- Data Reporting and Visualization.
- Scripting and Programming (SQL, Python, etc.).
- Data Security and Compliance (AWS‑specific).
- Monitoring and Logging (AWS‑specific).
- Performance Optimization (AWS‑specific).
- Collaboration and Communication.
- Agile Methodologies
Preferred Education
Bachelor's Degree
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.
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.
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