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Senior Data Engineer

4 weeks ago
Spain
Full-time
Senior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Databricks dbt Docker Flink Kafka Kubernetes Machine Learning SQL SQL Server
Apply Now
Rithum

Rithum

End to End E Commerce Solutions for Brands & Retailers | Rithum CommerceHub and ChannelAdvisor are now united as Rithum. We empower top brands, suppliers, and retailers with durable, profitable e commerce solutions. Rithum is the hottest place for free...

Internet Software & Services
$13M raised
View All Jobs 64

Description

  • Design and implement scalable ETL/ELT workflows for batch and streaming data using AWS services.
  • Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines.
  • Support Product, BI, Support, and Engineering stakeholders with data-related technical needs.
  • Collaborate with cross-functional teams to anticipate data requirements and deliver solutions proactively.
  • Optimize data lake and lakehouse infrastructure to support AI workloads and large-scale analytics.
  • Ensure data quality, lineage, and observability across data systems.
  • Develop and enforce data governance policies, including compliance monitoring and privacy protection.
  • Partner with data scientists to optimize pipelines for model training, inference, and continuous learning.
  • Build self-healing pipelines with AI-driven error detection, root cause analysis, and automated remediation.
  • Participate in the full software development lifecycle, including requirements gathering, testing, deployment, mentoring, and tool evaluation.

Requirements

  • 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines.
  • Extensive experience with SQL RDBMS such as SQL Server, dimensional modeling, star schema design, and foundational data warehousing concepts.
  • Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, and Glue.
  • Experience with DBT, Databricks, or similar data platform tooling.
  • Experience working with structured and unstructured data and implementing data quality frameworks.
  • Excellent communication and collaboration skills.
  • Demonstrated experience using AI coding tools such as GitHub Copilot or Cursor, with prompt engineering knowledge to improve productivity.
  • Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (preferred).
  • Experience in a SaaS or e-commerce environment with AI/ML products (preferred).
  • Knowledge of stream processing frameworks such as Kafka, Flink, or Spark Structured Streaming (preferred).
  • Familiarity with LLMOps and AI model deployment patterns in data infrastructure (preferred).
  • Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization (preferred).
  • Ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies (preferred).
  • Experience with containerization and orchestration tools like Docker and Kubernetes (preferred).
  • Travel required up to 10%.

Benefits

  • Medical, dental, and psychology benefits.
  • Life insurance and disability benefits.
  • Competitive time off package with 25 days of PTO, 8 company-paid holidays, 5 paid floating holidays, 2 wellness days, and 1 paid volunteer day.
  • Voucher program for transportation, meals, and childcare.
  • Remote working stipend of €40/month applied automatically in payroll.
  • Access to wellbeing tools such as the Calm App and an Employee Assistance Program.
  • Professional development stipend plus learning and development offerings.
  • Charitable contribution match per team member.

Interested in this position?

Apply directly on the company website

Apply Now

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