Data Engineer at Coinmerce

Schiphol-Rijk, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

BigQuery, SQL, Python, Data Modeling, ETL, NoSQL, Time-series Databases, Data Analysis, Google Looker, Grafana, Go, Rust

Industry

Financial Services

Description

Who are we WHO WE ARE Coinmerce Group is a Dutch-founded European crypto services company consisting of 3 pillars: brokerage, asset management and proprietary trading. Transparency is our core value, and our open-door policy supports collaboration, innovation, and team spirit in our Schiphol-Rijk office. With over 160 talented colleagues, we’re shaping the future of crypto together, are you ready to join us? What We Offer Competitive Salary Innovative Work: Be part of a team advancing new technology within the crypto industry; Modern Workspace: Enjoy our new office located at Schiphol-Rijk; Daily Perks: Free lunch, fresh fruit and weekly Friday drinks at our company bar; Team Events: Engage in team events and bonding activities; Commuting & Pension: Receive commuting allowance and a solid pension plan; Benefits & Wellness: 25 vacation days, monthly chair massages, and access to our company gym and Alleo benefit program; Extra Perks: A €250 home-office setup budget after completing your probation period. Yearly L&D Budget: Of EUR 2000 About the role ABOUT THE ROLE We’re looking for a Data Engineer to join our team and make a significant impact on the core applications at Coinmerce. As a Data Engineer, you’ll collaborate with various stakeholders, including Trading Technology and Development teams but also Business teams to design and develop advanced data solutions. Responsibilities: Design and develop data engineering solutions for Trading, Brokerage, Treasury, Finance, and Marketing projects. Collaborate with stakeholders to gather requirements and provide technical expertise. Participate in design sessions and collaborate on other Technology team activities. Maintain and optimize data pipelines from trading and brokerage platforms to our data warehouse in BigQuery. Develop infrastructure for ETL processes from diverse data sources using SQL and big data technologies. Establish standards for data quality, security, and integrity across all platforms to ensure reliable reporting and analytics. Build analytical data models to be used for reporting and dashboards. What you bring: 6+ years of experience in a data engineering or data-centered development role. Experience building and/or maintaining a data warehouse based on BigQuery. Proficiency in SQL, relational databases, and data analysis. Knowledge of NoSQL, time-series databases, and data analysis techniques. Programming skills in Python (experience with Go or Rust is also considered). Clear and concise communication skills to efficiently analyze and solve technical problems. Experience in generating data reports and visualizations using tools like Google Looker or Grafana is a plus.

Responsibilities

Design and develop advanced data engineering solutions and ETL processes for various business units including Trading, Finance, and Marketing. Maintain and optimize data pipelines to BigQuery while establishing standards for data quality and security.