Senior Data Engineer

g2 Recruitment; Valencia; A distancia; EUR 30.000 - 50.000; A tiempo parcial

Descripción de la vacante

A recruitment agency is looking for a Senior Data Engineer to design and maintain scalable data solutions remotely. This role requires expertise in Python, SQL, and cloud environments (AWS/Azure) with at least 5 years of experience in data engineering. The position offers a 6-month contract with opportunities for extension, and involves mentoring junior engineers, collaborating across teams, and developing data pipelines and APIs.

Formación

• At least 5 years of experience in data engineering or software development.
• Experience working in agile teams.
• Technical English (reading/writing).

Responsabilidades

• Design and build scalable and reliable ETL/ELT pipelines.
• Develop applications and APIs for data access and manipulation.
• Implement solutions on AWS and Azure.
• Automate data ingestion, transformation, and loading processes.
• Collaborate with Data Scientists, Analysts, and product teams.
• Mentor junior developers and participate in code reviews.

Conocimientos

Python (3+ years experience with Pandas, NumPy, SQLAlchemy)

SQL: Complex queries, optimization

Git: Version control and collaborative workflows

Apache Spark

Docker (containerization)

Proficiency in English

Educación

Bachelor's degree in Engineering, Computer Science, or a related field

Herramientas

AWS

Azure

PostgreSQL

Docker

Descripción del empleo

Senior Data Engineer - Python | SQL | GIT | Freelance | Remote | Catalonia

I am currently working with a respected client who is looking to hire a

Freelance Data Engineer

for a 6-month contract with the possibility of extension. The role involves designing and maintaining scalable data pipelines and cloud solutions (AWS / Azure), developing APIs, automating workflows, collaborating across teams, and mentoring junior engineers.

Role Details:

• Job Title: Senior Data Engineer
• Working Model: Remote
• Day Rate: D.O.E
• Contract Length: 6 Months initially, with extension possible
• Start Date: ASAP

Key Responsibilities:

• Design and build scalable and reliable ETL / ELT pipelines
• Develop applications and APIs for data access and manipulation
• Implement solutions on AWS and Azure (data warehousing, data lakes)
• Automate data ingestion, transformation, and loading processes
• Collaborate with Data Scientists, Analysts, and product teams
• Mentor junior developers and participate in code reviews

Required Technical Skills:

• Programming: Python (3+ years experience with Pandas, NumPy, SQLAlchemy)
• SQL: Complex queries, optimization, stored procedures
• Git: Version control and collaborative workflows
• Big Data & Streaming: Apache Spark (distributed processing), Apache Airflow (workflow orchestration and DAGs)
• Databases: PostgreSQL, MySQL, SQL Server
• Data Warehouses: Snowflake, BigQuery, Redshift
• Cloud (AWS / Azure): S3, EMR, Glue, RDS, Lambda, Data Factory, Synapse, Storage, Functions
• DevOps: Docker (containerization), CI / CD (Jenkins, GitLab CI, GitHub Actions)

Experience and Education:

• At least 5 years of experience in data engineering or software development
• Bachelor's degree in Engineering, Computer Science, or a related field
• Experience working in agile teams
• Technical English (reading / writing)

Essential Skills:

• Proficiency in English and excellent communication skills for client-facing engagements (Spanish is a bonus)

If interested, please apply or send your CV with a contact number to us.