Data Engineer Lead

Market Cloud · Eschborn

May 7, 2026

Job Summary

The AWS Data Engineer Lead position entails designing, building, and managing scalable data solutions on the AWS cloud platform. The role demands expertise in AWS data services and strong leadership to drive data engineering initiatives and mentor teams.

Key Responsibilities

Lead the design, development, and optimization of end-to-end data pipelines on AWS.
Architect scalable data lake and data warehouse solutions using AWS services.
Manage and mentor a team of data engineers, ensuring high-quality deliverables.

Who This Role Suits

8+ years in data engineering with at least 2+ years in a lead role.
Strong experience in Python, SQL, and ETL/ELT frameworks.
Hands-on experience building data pipelines on AWS cloud.

Tips to Apply

Highlight your experience in leading data engineering projects.
Showcase proficiency in Python, SQL, and ETL/ELT frameworks.
Demonstrate hands-on experience in building data pipelines on the AWS cloud platform.

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Full Job Description

Data Engineer – AWS Lead

📍 Location: Spain- Germany - Barcelona

Work Mode: Hybrid 2 days a week to office
🕒 Experience: 8–12+ Years

We are seeking an experienced AWS Data Engineer Lead to design, build, and manage scalable data solutions on the AWS cloud platform. This role requires deep hands-on expertise in AWS data services along with strong leadership skills to drive data engineering initiatives and mentor teams.

Tasks

Key Responsibilities

Lead the design, development, and optimization of end-to-end data pipelines on AWS.
Architect scalable data lake and data warehouse solutions using AWS services.
Manage and mentor a team of data engineers, ensuring high-quality deliverables.
Collaborate with cross-functional teams to define data strategies and solutions.
Implement robust data governance, security, and compliance practices.
Optimize performance, cost, and reliability of AWS-based data systems.
Drive best practices for CI/CD, DevOps, and DataOps in data engineering.
Stay updated with evolving AWS technologies and recommend improvements.

Requirements

Required Skills & Qualifications

8+ years in data engineering with at least 2+ years in a lead role.
Strong experience in Python, SQL, and ETL/ELT frameworks.
Hands-on experience building data pipelines on AWS cloud.
Expertise in big data tools like Spark, Hadoop.
Solid understanding of data modeling, warehousing, and lake architecture.
Experience working with Snowflake or Redshift.
Strong problem-solving, stakeholder management, and leadership skills.

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Skills

python go devops aws ci/cd design ui ai sql Data Processing Data Engineer professional / experienced

Frequently Asked Questions

This Data Engineer Lead position is suitable for Mid-level professionals. Market Cloud is looking for candidates with proven experience in the key skills mentioned, typically 2-5+ years depending on the specific requirements.

This Data Engineer Lead position requires on-site or hybrid work. Check the job details for the specific location and flexibility options.

Key skills for this Data Engineer Lead position include: python, go, devops. Having a strong foundation in these areas will make your application competitive. Experience with related tools and frameworks is also valuable.

To apply, click the 'Apply' button on this page, which will direct you to Market Cloud's application portal. Have your resume, portfolio (if applicable), and a compelling cover letter ready.

Salary ranges vary based on experience and location. Check the job posting for specific compensation details, or research similar Data Engineer Lead positions in your area.

Highlight relevant experience with python, go, devops. Include specific projects, achievements, and measurable results. Tailor your resume to match the job description, focusing on how your background aligns with Market Cloud's needs.

Most hiring processes take 2-4 weeks from application to offer. This may include initial screening, technical assessments, interviews, and background checks. Market Cloud will keep you informed throughout each stage.