AWS Data Engineer

IBM
Leicester
1 month ago
Applications closed

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Introduction

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

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.


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.

Preferred Education

Bachelor's Degree


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


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