Data Engineer (Senior) ID40199
Agile
Engine is an Inc. 5000 company that creates
- winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our
- first culture has earned us multiple Best Place to Work awards.
ABOUT THE ROLE
We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing
- performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.
WHAT YOU WILL DO
- Design, build, and maintain
- scale data pipelines and data processing systems in AWS; - Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies;
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions;
- Implement best practices for data governance, security, and compliance;
- Monitor, troubleshoot, and improve the performance of data systems and pipelines;
- Mentor junior engineers and contribute to building a culture of technical excellence;
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.
MUST HAVES
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong
- on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc. ); - Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, Map
Reduce) and Apache Spark (Py
Spark, Spark SQL, streaming); - Strong SQL skills and experience with relational and No
SQL databases; - Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc. );
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
- Excellent
- solving skills and ability to work in
- paced environments; - Ability to work in German Time Zone (6:00-7:00 am to 2:00-3:00 pm Brazil/ART time);
- Upper-Intermediate English level.
NICE TO HAVES
- Experience with
- time data streaming platforms (Kafka, Kinesis, Flink); - Knowledge of containerization and orchestration (Docker, Kubernetes);
- Familiarity with data governance, lineage, and catalog tools;
- Previous leadership or mentoring experience.
PERKS AND BENEFITS
- Professional growth: Accelerate your professional journey with mentorship, Tech
Talks, and personalized growth roadmaps. - Competitive compensation: USD-based compensation with budgets for education, fitness, and team activities.
- A selection of exciting projects: Work on modern solutions for Fortune 500 enterprises and leading product brands.
- Flextime: Flexible schedule with options for remote work or
- based arrangements for
- life balance.
ADDITIONAL
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Industry: IT Services and IT Consulting
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- Informações detalhadas sobre a oferta de emprego
Empresa: AgileEngine Localização: Madeira
Funchal, Madeira, PortugalPublicado: 25. 9. 2025
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