Senior Data Engineer (AWS & Python)

Proxify; Portugal; Presencial; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible withdrawal options

24 flex days off

Consistent work hours

Resumo da oferta

A leading technology firm in Portugal seeks a Senior Data Engineer to design and implement scalable data solutions using AWS and Python. Ideal candidates have over 5 years in data engineering and possess strong skills in ETL processes, SQL, and modern data warehouses like Snowflake. Enjoy flexible work arrangements and competitive pay.

Qualificações

• 5+ years of experience in data engineering.
• Deep experience with AWS for data ingestion.
• Expert level Python proficiency.

Responsabilidades

• Design and implement scalable data pipelines using Python.
• Optimize ETL/ELT processes for performance.
• Establish data quality monitoring and governance.

Conhecimentos

Python for data manipulation

AWS core services

SQL and complex query writing

Containerization (Docker, Kubernetes)

Data engineering experience

Ferramentas

Amazon Redshift

Snowflake

Apache Airflow

Terraform

Descrição da oferta de emprego

Join to apply for the Senior Data Engineer (AWS & Python) role at Proxify

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full‑time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role

We are looking for a Senior Data Engineer specializing in modern, cloud‑native data platforms, with a strong focus on Amazon Web Services (AWS) and Python. You will be responsible for designing, building, and optimizing highly scalable and reliable ETL/ELT pipelines and data warehouses that power analytics, machine learning, and business intelligence for our clients.

What we’re looking for

• 5+ years of professional experience in data engineering
• Expert proficiency in Python for data manipulation, scripting, and pipeline development (e.g., Pandas, PySpark).
• Deep hands‑on experience with the AWS cloud platform, specifically the core services used for data ingestion, storage, and processing (S3, Glue, Lambda, EMR).
• Proven experience working with modern data warehouses (Snowflake, Amazon Redshift, or Google BigQuery/Azure Synapse).
• Solid expertise in SQL and complex query writing/optimization.
• Strong understanding of containerization and orchestration concepts (Docker, Kubernetes).
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

Nice‑to‑have

• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Proficiency with a modern orchestration tool like Apache Airflow.
• Familiarity with data streaming technologies (Kafka, Kinesis, or Flink).
• AWS certifications

Responsibilities

• Architect, implement, and maintain scalable data pipelines (ETL/ELT) using Python and native AWS services to ingest data from various sources (APIs, databases, streaming services) into data lakes and warehouses.
• Serve as the subject matter expert for the core AWS data services, including S3, Glue, EMR, Kinesis/MSK, and Redshift or Amazon Aurora.
• Design robust and efficient data models (e.g., star schema, snowflake, data vault) for analytical and reporting needs.
• Perform performance tuning and query optimization on large datasets within cloud data warehouses to ensure fast data delivery.
• Implement infrastructure as code (IaC) using Terraform or CloudFormation, and integrate data pipelines into modern CI/CD processes.
• Establish data quality monitoring, logging, alerting, and governance standards across the data platform.

What we offer

Get paid, not played

No more unreliable clients. Enjoy on‑time monthly payments with flexible withdrawal options.

Predictable project hours

Enjoy a harmonious work‑life balance with consistent 8‑hour working days with clients.

Flex days, so you can recharge

Enjoy up to 24 flex days off per year without losing pay, for full‑time positions found through Proxify.

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