Data Engineer

Role Overview

The Data Engineer will report to the Senior Director of Data Science & Analytics and is responsible for building and maintaining data pipelines and workflows that support ML, advanced analytics, and software products.

What You Will Do

Data acquisition, data ingestion, data cleansing, data transformation, and data migration. Design, implement, and test data integrations and ETL processes and provide detailed documentation.

Why It Might Be a Fit

A bachelor’s degree or higher in Computer Science, Information Systems, Information Technology or related field. Minimum of 3 years hands-on experience in a data engineering role.

Requirements

• Bachelor’s degree or higher in Computer Science, Information Systems, Information Technology or related field
• Minimum of 3 years hands-on experience in a data engineering role
• Minimum 2 years of intensive experience with cloud-based Big Data, BI, and Analytics technologies, preferably AWS
• Strong expertise with Big Data tools such as Databricks/Spark/PySpark and serverless architectures
• AI and Agentic AI solutions, Relevant recent experience
• Experience with event driven architectures and data streaming pub/sub technologies such as Kafka and Kinesis
• Strong capabilities in scripting languages such as Python etc.
• Experience with Data Visualization tools such as Tableau
• Strong interpersonal and communication skills with Agile/Scrum experience
• Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions

Benefits

• Hybrid/flexible working arrangements
• Work from Abroad: Up to 20 days annually
• 22 days holidays on hire rising to 27 days with service
• Birthday Leave: 1 day off per year
• Paid Maternity, Adoption & Paternity Leave
• Occupational Pension Scheme – non-contributory auto enrolment on commencement
• Life Cover payable at 4 times base salary
• Income protection for long term illness
• Employee car rental discount in corporate locations which can also be extended to friends & family
• Access to compressive online learning platforms
• Tuition support through Staff Development Programme
• 10 days paid study leave & paid exam leave where exams fall during work hours
• Professional membership fees paid annually where membership relates directly to role
• Bike to Work & Travel Pass schemes.
• Employee Assistance Programme: Counselling, coaching, advisory services 24/7 365 days per year for employee and family
• Occupational Health support
• Christmas savings scheme
• Perks at Work: Lifestyle discounts