Senior Data Engineer
Rover.com
Amazon RedshiftDockerETLKafkaKubernetesPythonSQLTerraform
Data Engineer
KEENFOLKS
full-time
Posted on:
Location Type: Hybrid
Location: Barcelona • 🇪🇸 Spain
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudDockerETLJenkinsMySQLNumpyPandasPostgresPythonSparkSQL
About the role
- Assist in the design and implementation of scalable data pipelines (ETL/ELT).
- Collaborate with senior engineers to maintain high-performance data architectures.
- Develop applications, APIs, and pipelines for data ingestion, processing, and consumption.
- Work with AWS and Azure data services (data warehouses, data lakes, streaming).
- Support automation and optimization of data workflows with monitoring and observability.
- Collaborate with Data Scientists, Analysts, and Product teams to integrate analytics and ML models into production.
- Participate in code reviews and learn best practices in software and data engineering.
- Stay up-to-date with new technologies (Data Mesh, RAG, MLOps, etc.) and propose innovative solutions.
Requirements
- 2+ years of experience in Data Engineering or Software Development with a data focus.
- Proficiency in Python (Pandas, NumPy, SQLAlchemy) and SQL.
- Familiarity with Apache Spark, Airflow, or other data orchestration tools.
- Experience with relational databases (PostgreSQL, MySQL, SQL Server) and/or data warehouses (Snowflake, BigQuery, Redshift).
- Exposure to cloud data ecosystems (AWS or Azure).
- Basic knowledge of DevOps tools: Docker, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
- Bachelor’s degree in Engineering, Computer Science, or related fields.
- Fluent in technical English (reading/writing).
Benefits
- Flexible hybrid work: two days in the office, three from home 🏡
- Free lunch on office days 🍲
- Fresh fruit, coffee, tea, and snacks 🍎 ☕️ 🫖
- Office activities 🏓🧘♀️
- 30 days working from abroad 🌍
- Birthday day off 🥳
- 23 vacation days 🌴
- 2 personal days 🪐
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringsoftware developmentPythonSQLApache SparkAirflowrelational databasesdata warehousesDevOpsdata pipelines
Soft skills
collaborationcommunicationproblem-solvingadaptabilityinnovation
Certifications
Bachelor’s degree in EngineeringBachelor’s degree in Computer Science
