Senior Data Engineer at Exadel Inc (Website)

Wilkowice, Silesian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Data Services, Oracle SQL, PL/SQL, Python, Java, Scala, Data Modelling, Data Warehousing, ETL, Agile, Scrum, Kubernetes, Terraform, CI/CD, Data Governance, Streaming Systems, Financial Markets

Industry

Software Development

Description

Why Join Exadel 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. About the Client 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. What You’ll Do Design and implement scalable and secure data pipelines across multi-cloud (GCP & AWS) environments 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, provide technical assistance to the team 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) What You Bring Strong experience with cloud data services on both Google Cloud Platform (GCP) and Amazon Web Services (AWS) 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) 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 Nice to Have 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 Legal & Hiring Information 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 Your Benefits at Exadel 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 Exadel Culture 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.

Responsibilities

Design and implement scalable and secure data pipelines across multi-cloud environments. Collaborate with cross-functional teams to deliver business-critical data projects and ensure robust data governance.