Contribute to a modern, cloud-based data environment in fintech while developing data pipelines and collaborating with analysts and engineers.
Scale Tech is partnering with a fast-growing fintech company that’s looking to hire a Junior/Mid-Level Data Engineer to join their expanding data team. This role is ideal for someone who’s passionate about data, eager to grow their technical skills, and wants to contribute to a modern, cloud-based data environment within the financial technology sector.
Responsibilities:
Support the development, testing, and maintenance of reliable data pipelines and ETL/ELT workflows.
Assist in managing and enhancing the company’s data warehouse and related architecture.
Work on integrating data from a range of internal and external systems.
Help monitor and improve data quality, ensuring accuracy and consistency.
Collaborate closely with analysts, data scientists, and business stakeholders to make data accessible and actionable.
Gain hands-on experience with Google Cloud Platform (GCP), BigQuery, dbt, and Apache Superset under the mentorship of senior engineers.
Contribute to team documentation, data best practices, and process improvements.
Requirements:
1–3 years of experience in data engineering or a related role.
Solid understanding of SQL and basic proficiency in Python.
Some hands-on experience building or maintaining data pipelines (experience with dbt is a plus).
Familiarity with cloud data platforms, ideally GCP.
Understanding of data warehousing principles and data modeling concepts.
Comfortable using Git and collaborating in a modern development environment.
A proactive, curious attitude and eagerness to learn new tools and technologies.
Previous experience in fintech or financial services is an advantage, but not essential.
What the company offers:
Competitive compensation and benefits package.
Paid vacation aligned with company policy, including an additional day off for your birthday and extra days based on tenure.
Dedicated self-learning time for professional development.
Private health insurance (activated after the trial period).
Flexible work arrangements and a culture that values work-life balance.
Recognition and rewards through company prizes, paid trips, and team awards.
Financial and emotional support during key life events (weddings, newborns, or challenging times).
Regular company events and team-building activities throughout the year.
Perks & BenefitsExtracted with AI
Flexible Work Hours:
Flexible work arrangements and a culture that values work-life balance.
Health Insurance:
Private health insurance (activated after the trial period).
Experience with GCP and mentorship:
Gain hands-on experience with Google Cloud Platform (GCP), BigQuery, dbt, and Apache Superset under the mentorship of senior engineers.
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