Lead Data Engineer

Senior Data Engineer (Relocation to Spain)

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Important Information

Experience: more than 6 years

Job Mode: Full-time

Work Mode: Hybrid

Job Summary

• Lead the design, development and optimization of scalable data pipelines and
  - based data platforms.
• Lead
  -
  - end data engineering initiatives leveraging Snowflake, Python and modern cloud platforms to build reliable and scalable data solutions.
• Provide technical leadership within the Data Engineering team and ensure best practices across architecture, development, testing and deployment.

Responsibilities and Duties

• Design, build and maintain scalable data pipelines and
  - native analytics solutions using Snowflake and Azure services.
• Develop and optimize data ingestion, transformation and processing workflows using Python and SQL.
• Work with business stakeholders to understand
  - value problems and translate them into data engineering tasks.
• Partner with data scientists and analysts to ensure data availability, quality and usability.
• Conduct code reviews and enforce engineering standards to maintain
  - quality deliverables.
• Monitor and improve the performance, reliability and cost efficiency of data systems.
• Prototype data solutions and progress them from
  -
  - concept to production.
• Ensure effective collaboration across agile ceremonies, including planning, backlog refinement and feature workshops.

Qualifications and Skills

• Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field.
• 6+ years of hands‑on experience in data engineering, with exposure to
  - based data solutions.
• Strong proficiency in Python and SQL, including advanced development for ETL/ELT workloads.
• Proven experience with Snowflake and cloud platforms, preferably Azure.
• In‑depth understanding of data modeling, structured and unstructured data, data quality and distributed data processing.
• Ability to contribute to all stages of the solution lifecycle: design, infrastructure, development, testing, deployment and maintenance.
• Solid understanding of cloud‑native engineering principles and modern data architecture practices.
• Excellent communication, collaboration and presentation skills for engaging with both technical and non‑technical stakeholders.

Role‑Specific Requirements

• Experience with modern data stack components, orchestration and CI/CD pipelines.
• Experience working in agile environments and participating in collaborative engineering rituals.
• Demonstrated ability to mentor, guide and influence engineering team members.

Technologies

• Must have: Snowflake, Python, SQL, experience with modern cloud platforms
• Nice to have: dbt, Apache Airflow, Prefect, CI/CD tools, automated testing frameworks

Skillset Competencies

• Designing and maintaining scalable
  - based data architectures
• Building and optimizing ELT/ETL pipelines
• Performance tuning for
  - scale data processing
• Orchestrating pipelines using modern workflow tools
• Effective collaboration within international and virtual team environments

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, Dev
Sec
Ops, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology and Engineering

Industries

Construction, Software Development, and IT Services and IT Consulting