Data Engineer at Capital.com

Job Description

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

We’re looking for a skilled Data Engineer to help design, build, and optimize the data systems that power our regulatory reporting and analytics. You’ll take ownership of our PostgreSQL environment and Airflow pipelines, ensuring performance, reliability, and data integrity across critical reporting workflows.

Requirements:

2+ years’ experience as a Data Engineer (or similar) working heavily with PostgreSQL.
Expert SQL and strong PL/pgSQL: able to design, implement, and maintain complex stored procedures/functions.
Deep PostgreSQL fundamentals: schema design and normalization, indexing strategies, constraints (PK/FK/UNIQUE/CHECK), triggers, table partitioning.
Experience with EXPLAIN/ANALYZE, query optimization, VACUUM/ANALYZE, bloat detection/mitigation, and use of pg_stat_* views.
Experience building and operating DAGs (Apache Airflow), including SLAs, retries, and dependencies.
Experience with Version control & CI/CD (GitHub/GitLab), code reviews.
Data quality and governance mindset: validation checks, lineage/documentation, and auditability.
Nice to have domain familiarity with reporting in fintech/brokerage (e.g., trade/transaction reporting for CFD brokers; understanding of controls, reconciliations, and audit needs).

Responsibilities:

Design, implement, and optimize database objects and complex PL/pgSQL procedures to support regulatory reporting use cases.
Build and maintain robust DB dependencies: primary/foreign keys, constraints, triggers, partitions, and scheduled maintenance routines.
Own Postgres performance and hygiene: capacity planning, index maintenance, partition strategy, VACUUM/ANALYZE, and systematic tuning using EXPLAIN and pg_stat_statements.
Develop, schedule, and operate data pipelines as DAGs (in Airflow): ingestion, transformations, validations, and deliveries to reporting targets.
Implement proactive alerting and on-failure workflows.

What you will get in return:

Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony: Join a company that genuinely cares about you—because your life outside of work matters just as much as your time on the clock.
Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.

Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.