Senior Data Engineer

Data Engineer

We're now expanding our data capabilities to meet the growing demands of a fast-paced, data-driven organisation. This role is a great opportunity for someone who's eager to make an impact, get hands-on with modern tools, and help shape how we use data across our products and teams.

Responsibilities

• Design, develop, and maintain scalable data architectures and ETL pipelines
• Build and manage data models and data warehouse solutions (we use Airflow, dbt, and Redshift)
• Write clean, efficient Python and SQL code for data processing and transformation
• Integrate data from internal and third-party APIs and services
• Optimise data pipelines for performance, scalability, and reliability
• Collaborate with data scientists, analysts, and engineering teams to support business needs
• Implement and uphold data security and compliance standards
• Use version control systems (e.g. Git) to manage and maintain project codebases
• Contribute to the continuous improvement of data processes and tooling across the organisation

Requirements

• Proven experience in data engineering and building scalable data solutions
• Strong experience with ETL processes, data modelling, and data warehousing
• Proficiency in Python and SQL
• Expertise in relational (SQL) and NoSQL database technologies
• Hands-on experience with AWS
• Solid understanding of data security, privacy, and compliance principles
• Ability to optimise data pipelines for performance and maintainability
• Strong collaboration skills and a proactive, problem-solving mindset

Bonus Points For

• Experience with Airflow and/or dbt
• Experience working in Agile environments (Scrum/Kanban)
• Exposure to DevOps practices or CI/CD pipelines

Benefits

• Annual Leave: 22 days per calendar year (and all local bank holidays) plus an additional day off for your birthday
• Wellness and Care Leave: Up to 5 days for self-care or wellness
• Volunteer Day: 1 day off to support a charity of your choice
• Share With Scheme: Eligible employees receive a share in a qualifying event
• Therapy Sessions: 50% contribution towards therapy sessions, up to BGN 90 per session
• Lunch & Learns: Events held throughout the year with educational or informative topics
• Charity Matching Days: Company matches charity sponsorships up to 3500 BGN
• Hybrid Working: 3 days in the office, 2 days working from home
• Multisport: 50% contribution from the employer, 50% from employee
• State Benefits: Pension & health provision, family-friendly policy
• Office Facilities: Contemporary office space, free onsite gym
• Employee Assistance Programme (EAP): 24-hour confidential health assistance via TelusHealth, including: counselling support, financial wellbeing, bereavement support, legal information, medical information
• Refer a Friend: BGN 1,200 reward for successful referral
• Hardship Fund: Financial assistance repayable with low interest over 3, 6, or 12 months
• Learn With Us: Access to a learning platform with over 80,000 free courses

Seniority Level

Mid-Senior level

Industry

Financial Services

Employment Type

Full-time

Job Functions

Information Technology