Senior Data Engineer
Senior Data Engineer
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Job Description
Uplift is a dynamic agency specializing in global talent search covering EMEA LATAM USA and APAC. With successful placements in 52 countries we combine speed and cutting-edge technology to source top executive and mid-senior talent across various functions. Our innovative approach integrates global networks AI and advanced recruitment tools. Beyond recruitment we engage with our audience through our podcast newsletter and webinars ensuring we stay at the forefront of talent acquisition and global HR trends.
About Our Client
Our client is a global technology company specializing in data science solutions for the retail industry. They develop software and provide consulting services that help retailers harness the power of data to improve decision-making optimize operations and drive business growth. With offices in the United States Portugal France Turkey and Tunisia they serve a diverse range of clients across multiple markets worldwide.
Important: Please submit your resume in English only. This position is open exclusively to candidates based in Portugal who are eligible to work there.
What you will do:
- Build administer and scale data processing pipelines
- Improve scalability stability accuracy speed and efficiency of our existing data systems
- Support data scientists to make prototypes production-ready
- Design and implement robust data workflows using Databricks with strong Spark and SQL skills for transformation optimization and analytics
- Ensure ways to enhance data quality and reliability
What you bring to the table:
- Bachelors Masters or Ph.D. in Computer Science Engineering or a related field 5 years of experience in data engineering or backend software development with a track record of delivering production-grade systems.
- Experience with Spark is a must
- Hands-on experience with Databricks and strong proficiency in SQL for data transformation performance tuning and analytics
- Experience working with relational databases particularly PostgreSQL
- Experience with cloud platforms preferably Azure.
- Strong coding skills in Python and/or Scala
- A good understanding of the best practices for developing software (version control CI/CD automation pair programming documentation testing )
- Deep knowledge of distributed data processing frameworks especially Apache Spark Solid understanding of CI/CD pipelines containerization (Docker) and orchestration tools (Kubernetes)
- Knowledge of the microservice architecture Docker Kubernetes is a plus
- Excellent problem-solving analytical skills communication and leadership skills
Your Tech Stack:
- Spark (Scala Python)
- SQL (Postgres DuckDB)
- Databricks Docker Kubernetes Azure
- Cassandra
What they offer:
- Competitive salaries and comprehensive benefits 22 days of paid time off plus major national holidays in Portugal
- Enjoy 20 days of Work From Anywhere flexibility each year Respectful innovative and diverse team
Process: 2 technical interviews (with the Senior Data Engineers & the Director of Software Engineering) and a final interview with the CEO.
Employment Type
Full Time
