Data Platform Engineer (Staff / Sr Staff) (Remote from Europe)

Jobgether; À distance; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A tech staffing agency is seeking a Data Platform Engineer (Staff/Sr Staff) to develop data infrastructure that enhances data access and usage across the organization. The ideal candidate will have over 7 years of software engineering experience with a strong grasp of Python, SQL, and various modern data stack technologies. This position emphasizes autonomy and cross-team collaboration in a remote-first environment. Benefits include competitive salary, equity grants, and unlimited vacation.

Prestations

Competitive base salary

Equity grants

Comprehensive medical, dental, and vision coverage

Unlimited vacation

Flexible work schedules

Opportunities for professional growth

Remote-first work environment

Qualifications

• 7+ years of experience in software engineering with a focus on data infrastructure.
• Proven ability to design and build internal platforms or libraries.
• Experience with orchestration tools such as Dagster or Airflow.

Responsabilités

• Design and implement data cataloging infrastructure.
• Build lineage capabilities for data tracking.
• Create self-serve tooling to facilitate data discovery.

Connaissances

Python

SQL

Databricks

Spark

data cataloging

metadata management

Airflow

communication

problem-solving

Outils

Dagster

DataHub

Amundsen

Unity Catalog

OpenLineage

Description du poste

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Platform Engineer (Staff / Sr Staff) in Europe.

This role is critical for shaping how the organization accesses, understands, and leverages its data at scale. The Data Platform Engineer will design and implement infrastructure, interfaces, and tooling that empower engineers, data scientists, and ML teams to efficiently discover, analyze, and utilize data across the company. As a foundational hire, this position offers significant autonomy to define data cataloging, lineage, access patterns, and self-serve capabilities, influencing the future of the company’s data ecosystem. The ideal candidate thrives in a fast-growing, remote-first environment, collaborates across teams, and brings expertise in modern data stacks, metadata management, and platform engineering. This role directly supports the company’s mission to optimize renewable energy assets and accelerate decarbonization.

Accountabilities

• Design and implement data cataloging infrastructure to make datasets discoverable, understandable, and connected.
• Build lineage capabilities that allow teams to trace data provenance and flow across systems.
• Develop consistent data access patterns and libraries for engineers, data scientists, and ML teams.
• Create self-serve tooling to reduce friction in data discovery and usage.
• Contribute to the development of the company’s data ontology, ensuring alignment with platform infrastructure.
• Collaborate with Data Engineers to ensure platform infrastructure complements data pipelines.
• Gather cross-team feedback to identify pain points and prioritize platform improvements.
• Stay updated with best practices and innovations in data platform infrastructure, applying them to enhance internal systems.
• Participate in on-call rotations and contribute to operational excellence across the data platform.

Requirements

• 7+ years of experience in software engineering with a focus on data infrastructure.
• Strong proficiency in Python and SQL.
• Experience with modern data stack technologies such as Databricks, Spark, dbt, or similar.
• Proven ability to design and build internal platforms, frameworks, or libraries for other engineers.
• Familiarity with data cataloging, metadata management, or lineage tools (e.g., DataHub, Amundsen, Unity Catalog, OpenLineage).
• Experience with orchestration tools such as Dagster or Airflow.
• Excellent collaboration skills for working in distributed, remote-first teams across multiple time zones.
• Strong communication and problem-solving abilities.
• Experience or enthusiasm for AI-assisted development.
• Nice to have: experience as an early member of a data platform team, AWS infrastructure familiarity, self-serve tooling development, data modeling, or supporting ML/Data Science teams.

Benefits

• Competitive base salary with meaningful equity grants.
• Comprehensive medical, dental, and vision coverage, and retirement plan options.
• Unlimited vacation and flexible work schedules.
• Opportunities for accelerated professional growth through mentorship and collaboration with industry experts.
• Remote-first work environment with a collaborative and inclusive culture.
• Exposure to cutting-edge technology and large-scale energy and climate impact projects.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1