Senior Data Engineer

Medium; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A recruitment platform seeks a Senior Data Engineer to architect and maintain a data platform in a remote-first working environment. Responsibilities include developing data infrastructure and driving analytics initiatives with Python, SQL, and dbt-core. The ideal candidate will have experience with AWS and Terraform, focusing on innovative solutions for data management. This position offers a flexible work culture with various benefits, including personal development budgets and team events.

Servicios

Remote-first work culture with flexible working hours

Annual personal development budget

Home office allowance

Team events and retreats

Wellbeing support

Country-specific benefits

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

dbt-core

AWS

Terraform

Descripción del empleo

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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

Thank you for your interest!

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.

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