Senior Data Engineer - Remote

Medium; Tremblay-en-France; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading data engineering firm is seeking a Senior Data Engineer to design, implement, and maintain data pipelines and workflows. This fully remote position requires at least 5 years of experience, strong SQL and Python skills, and familiarity with DBT and ETL processes. You will collaborate with diverse teams on data quality initiatives in a flexible work environment that emphasizes innovation and continuous improvement.

Prestations

Fully remote role

Generous paid time off

Professional development budget

Health insurance fully covered

Opportunities for in-person gatherings

Qualifications

• 5+ years of hands-on experience deploying code in production.
• Minimum 2 years of experience with DBT for transformation pipelines.
• Strong expertise in SQL and data warehousing concepts.
• Proficient in Python for data processing and pipeline development.
• Experience with workflow orchestration tools.

Responsabilités

• Design, build, and maintain efficient data pipelines.
• Develop and maintain transformation models with DBT.
• Monitor cloud data warehouses for data accuracy.
• Collaborate with teams to gather requirements.
• Create documentation for pipelines and workflows.

Connaissances

SQL

Python

DBT

Data warehousing concepts

ETL design and implementation

Workflow orchestration tools

Outils

Fivetran

Airbyte

Redshift

Airflow

Dagster

AWS

Docker

Terraform

Tableau

Description du poste

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - Remote in Europe.

In this role, you will design, implement, and maintain robust data pipelines and transformation workflows that support large-scale analytics and operational systems. You will work with cloud data warehouses, orchestration tools, and modern ETL frameworks to ensure data quality, reliability, and accessibility for multiple teams. Collaborating with cross-functional stakeholders, you will standardize best practices, optimize performance, and contribute to strategic data initiatives. The role offers a fully remote, flexible work environment with opportunities to work on cutting‑edge tools and technologies, while being part of a diverse, international team that values curiosity, ownership, and innovation. You will play a key part in driving data‑driven decision‑making and scaling data capabilities across the organization.

Accountabilities

• Design, build, and maintain efficient and scalable data pipelines from internal databases and SaaS platforms using tools like Fivetran, Airbyte, or Python.
• Develop, optimize, and maintain transformation models with DBT, Redshift, Dagster, and related technologies.
• Monitor and maintain cloud data warehouses, ensuring data accuracy, completeness, and timeliness.
• Collaborate with cross‑functional teams to gather requirements and address data engineering needs.
• Establish and enforce data engineering standards and best practices within the team.
• Create and maintain comprehensive documentation for pipelines, workflows, and data processes.

Requirements

• 5+ years of hands‑on experience deploying code in production environments.
• Minimum 2 years of experience with DBT for transformation pipelines.
• Strong expertise in SQL and data warehousing concepts.
• Practical experience with ETL design and implementation.
• Proficiency in Python for data processing and pipeline development.
• Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or Kestra.
• At least 4 years of experience with cloud data warehouse platforms.
• Fluent in English with excellent collaboration and communication skills.
• Bonus: Experience with AWS (Redshift), Dagster, data visualization tools (e.g., Tableau), or infrastructure tools like Docker, Terraform, Helm.

Benefits

• Fully remote role with flexibility to work from anywhere in Europe.
• International team with diverse nationalities and inclusive culture.
• Generous paid time off and work‑from‑home perks including equipment contributions.
• Professional development budget for learning and skill advancement.
• Health insurance fully covered by the company.
• Opportunities for in‑person gatherings, team events, and community‑building activities.
• Support for co‑working spaces to enhance remote work productivity.
• Culture emphasizing feedback, curiosity, ownership, and continuous improvement.

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.

When you apply, your profile goes through our AI‑powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills‑based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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