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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering with a focus on designing and optimizing ETL/ELT pipelines, mentoring teams, and leveraging AI coding assistants. Proficient in cloud technologies, particularly AWS, and skilled in SQL, Python, and various orchestration tools.
Highest-signal resume keywords
Data EngineeringETL/ELT Pipeline OptimizationSQL Server and PostgresAI Coding AssistantsAWS Cloud Platform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringETL/ELTSQLPythonSchema DesignPerformance TuningComplex Query OptimizationPrototypingBenchmarkingTesting and Validation
Soft Skills
MentoringCommunicationCollaboration
Tools & Technologies
DbtClickHouseAirflowDagsterGitDockerKubernetesTerraformKafka
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Engineering
Industry Keywords
AdvertisingMediaMarket Research
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDockerETLKafkaKubernetesPostgresPythonRDBMSSQLTerraform
About the role
Key responsibilities & impact- Lead and mentor data engineers on the Madrid team
- Provide technical direction and constructive code reviews
- Partner with distributed engineers across North America and India
- Design, build, and optimize robust ETL/ELT pipelines processing millions of daily data points
- Champion AI coding assistants and prompt-based development
- Establish team best practices and review standards for AI-assisted development
- Build proofs-of-concept for tools and patterns such as ClickHouse, dbt, and open-source orchestration frameworks
- Translate prototype results into clear technology adoption recommendations
- Help migrate from Azure Databricks to an open, flexible, AWS-based stack
- Understand upstream and downstream systems to ensure end-to-end data delivery
- Establish testing, validation, monitoring, observability, and CI/CD practices
- Learn the Advertising and Market Research domain and translate business needs into technical requirements
Requirements
What you’ll need- 6-8+ years in data engineering / ETL as a hands-on engineer
- Experience leading, mentoring, or informally guiding other engineers
- Strong SQL and RDBMS skills
- Hands-on experience with SQL Server and Postgres, including schema design, performance tuning, and complex query optimization
- Hands-on experience with dbt, ClickHouse, and open-source pipeline/orchestration tools such as Airflow or Dagster
- Strong proficiency in Python or a similar language
- Hands-on experience using AI coding assistants such as GitHub Copilot, Cursor, or Claude
- Ability to verify, test, and refine AI-generated code and queries
- Experience with a major cloud platform; AWS strongly preferred
- Ability to prototype, benchmark, and evaluate new technologies
- Comfort with Git, code reviews, and writing tested, maintainable, well-documented code
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Professional fluency in written and spoken English
- Strong communication skills for collaboration with distributed engineering, product, and business teams
- Bonus: experience in Advertising, Media, or Market Research
- Bonus: familiarity with Docker, Kubernetes, and Terraform
- Bonus: experience with Kafka
Benefits
Comp & perks- Inclusive and accessible workplace
- Equal Opportunity Employer
- Reasonable accommodation during the application or interview process
- Pay equity considerations in final compensation offer