Senior Data Engineer

Medium; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading tech company is looking for a Senior Data Engineer. This role involves architecting, building, and maintaining a data platform while working remotely. Key qualifications include proficiency in Python, SQL, and dbt-core. Candidates should have cloud experience, particularly with AWS. The company offers a remote-first work environment, annual personal development budget, and flexible work hours. This is an excellent opportunity to shape technical strategy and influence business outcomes.

Leistungen

Remote-first work culture

Annual personal development budget

Home office allowance

Team events and retreats

Wellbeing support

Qualifikationen

• Proven experience as a data engineer with hands-on experience in building and maintaining data platforms.
• Advanced proficiency in Python and SQL for complex data modeling and transformation.
• Strong experience with dbt-core and a solid understanding of analytics engineering principles.

Aufgaben

• Architect, develop, and maintain the end-to-end data platform, including infrastructure, pipelines, and data models.
• Drive the evolution of the data stack, including potential migration to a platform-agnostic data lake.
• Build and scale analytics models using dbt-core to support business intelligence initiatives.

Kenntnisse

Python

SQL

dbt-core

AWS

Terraform

Data modeling

Jobbeschreibung

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer (f/m/d) in Austria, Germany, Spain, UK, Italy, Hungary, Portugal, Croatia.

We are seeking a highly skilled Senior Data Engineer to take full ownership of a dynamic data platform. In this role, you will architect, build, and maintain end-to-end data infrastructure while driving the technical direction of the data ecosystem. You will partner with a lean, high-impact team to design scalable data models, automate workflows, and implement modern analytics engineering practices. This is an opportunity to directly influence business outcomes, shape platform evolution, and work in a remote-first, flexible environment that values innovation and continuous learning. Your expertise in Python, SQL, and dbt-core will be instrumental in creating robust solutions for data ingestion, transformation, and analytics.

Accountabilities

• Architect, develop, and maintain the end-to-end data platform, including infrastructure, pipelines, and data models.
• Drive the evolution of the data stack, including potential migration to a platform-agnostic data lake.
• Build and scale analytics models using dbt-core to support business intelligence initiatives.
• Design and maintain serverless data extraction pipelines using Python and cloud-based solutions.
• Implement Infrastructure as Code practices with Terraform to automate and standardize operations.
• Act as a strategic partner, contributing to architectural decisions and tooling selection to optimize team effectiveness.
• Collaborate closely with team members and stakeholders to ensure data solutions meet business needs.

Requirements

• Proven experience as a data engineer with hands-on experience in building and maintaining data platforms.
• Advanced proficiency in Python and SQL for complex data modeling and transformation.
• Strong experience with dbt-core and a solid understanding of analytics engineering principles.
• Familiarity with cloud-based data infrastructure, preferably AWS (Redshift, S3, Lambda).
• Knowledge of Infrastructure as Code tools such as Terraform.
• Experience working in a remote-first, cross-functional team environment.
• Strong problem-solving skills, ownership mentality, and ability to shape technical strategy.

Benefits

• Remote-first work culture with flexible working hours.
• Annual personal development budget for courses, conferences, or career coaching.
• Home office allowance to create a comfortable workspace.
• Team events, retreats, and opportunities for EU-based workations up to 90 days per year.
• Wellbeing support including mental health resources and employee assistance programs.
• Country-specific benefits based on location.

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: 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.