Middle Data Engineer

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

• Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
• Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
• Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
• Optimise and monitor performance of data systems to support latency-sensitive trading applications
• Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects
• Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
• Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)

• Strong experience with Google Cloud Platform (GCP) e.g. BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, S3, Glue, Redshift
• Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
• Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
• Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
• Familiarity with Agile development practices (Scrum, Kanban, Jira)
• Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

• GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage.
• Experience with Amazon Web Services (AWS)
• Knowledge of regulatory reporting, market data, or trade surveillance systems
• Experience with Apache Airflow, DBT, or similar orchestration tools
• Understanding of data security practices and compliance frameworks

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.