- Company Name
- JCDecaux
- Job Title
- Senior Data Engineer F/H
- Job Description
-
**Job Title:** Senior Data Engineer
**Role Summary:**
Design, build, and maintain a modern Lakehouse data platform that ingests, processes, and serves large volumes of enterprise data. Collaborate closely with data scientists, analysts, and DevOps to deliver robust data pipelines and infrastructure on cloud environments. Lead technical mentorship, promote best practices, and drive continuous improvement of data architecture and tooling.
**Expectations:**
- 5+ years of professional experience in data engineering within an industrial or large-scale enterprise setting.
- Proven track record of developing and deploying Big Data solutions using cloud infrastructure.
- Strong technical foundation with a self‑driven, innovative mindset and the ability to take ownership of complex projects.
**Key Responsibilities:**
1. Conceive, develop, and maintain end‑to‑end data pipelines for ingestion, transformation, and synthesis of large datasets.
2. Collaborate with Data Scientists to perform complex, cross‑source data analyses.
3. Operate, evolve, and optimize the company’s Lakehouse platform across cloud providers (AWS, Azure, GCP).
4. Evaluate, select, and implement appropriate data storage and processing technologies (S3, Snowflake, MongoDB, etc.).
5. Define and uphold coding standards, architecture best practices, and data engineering patterns.
6. Conduct ongoing technology scouting, evaluate new tools, and present findings to stakeholders.
7. Mentor and support junior engineers and new team members, fostering skill development and knowledge sharing.
**Required Skills:**
- **Programming:** Python, SQL.
- **Big Data & ETL:** Experience with dbt, custom ETLs, and large‑scale data processing.
- **Storage & Cloud:** S3, Snowflake, MongoDB or equivalents; deep familiarity with at least one major cloud platform (preferred AWS).
- **DevOps & Automation:** Docker, CI/CD pipelines, Unix/Linux command line, and Infrastructure‑as‑Code (IaC) scripting.
- **Business Acumen:** Ability to translate data insights into actionable business outcomes and communicate complex analyses clearly.
- **Communication:** Proficient in spoken and written English.
**Required Education & Certifications:**
- Minimum of a Bac +5 (equivalent) from an engineering school or university in Computer Science, Data Engineering, Information Systems, or a related field.
- Professional certifications in cloud platforms or data engineering (e.g., AWS Certified Data Analytics – Specialty, GCP Professional Data Engineer, etc.) are a plus.
Neuilly-sur-seine, France
On site
Senior
02-12-2025