As a Lead Data Engineer at Dynatrace, you will oversee the creation of scalable data pipelines in the Snowflake ecosystem, enabling efficient data management for enterprise analytics. You’ll guide a team of data engineers, helping to manage the technical transformation of business data into actionable insights. Your expertise will directly impact data quality, governance, and security, supporting informed decision-making across our global organization.

Jobs in Spain – Lead Data Engineer | Dynatrace – Barcelona, ES

Position Overview

Position: Lead Data Engineer
Location: Barcelona, Spain
Company: Dynatrace
Employment Type: Full-time, Hybrid

Dynatrace is looking for a skilled Lead Data Engineer in Barcelona to shape data strategies and lead the development of scalable data pipelines for our Business Intelligence function. If you’re passionate about leveraging Snowflake, Python, and Spark to transform business data, this role is for you.

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Job Description

As a Lead Data Engineer at Dynatrace, you will oversee the creation of scalable data pipelines in the Snowflake ecosystem, enabling efficient data management for enterprise analytics. You’ll guide a team of data engineers, helping to manage the technical transformation of business data into actionable insights. Your expertise will directly impact data quality, governance, and security, supporting informed decision-making across our global organization.

Key Responsibilities

• Pipeline Development: Lead design and implementation of robust data pipelines using Snowflake, AWS, Fivetran, and other third-party tools.
• Data Strategy: Contribute to data engineering strategies, optimizing data management for operational and analytics needs.
• Technical Guidance: Act as a technical lead for cross-functional collaboration with Data Modeling, BI, and Data Governance teams.
• Vendor Coordination: Oversee technical engagements with data engineering vendors.
• Data Standards: Ensure data engineering standards align with best practices in governance, quality, and security.
• Tech Innovation: Evaluate and recommend new data technologies and methodologies.

Skills and Qualifications

• Experience: Minimum of 5 years in a data engineering role with a focus on business operations data.
• Education: Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
• Technical Expertise: Proficiency in Snowflake, Spark, and Python for data pipeline development.
• API Integration: Strong experience acquiring data from REST APIs.
• Database Knowledge: Solid understanding of SQL/NoSQL databases, data lakes, and data warehousing.
• CI/CD Proficiency: Familiarity with CI/CD pipelines and DevOps practices for data engineering.
• Problem-Solving: Excellent analytical and problem-solving skills.
• Certification: Snowflake certification or equivalent data engineering certifications are preferred.

Education and Experience

• Degree: Bachelor’s in Computer Science, Information Systems, or related field.
• Professional Experience: 5+ years in data engineering, with specific experience in business operations data transformation and technical team leadership.

Why You Will Love Being a Dynatracer

• Innovation-Driven Work: Contribute to a one-product software company serving the world’s top enterprises.
• Cutting-Edge Technology: Work with the latest data technologies and tackle challenging technical problems.
• Flexible Hybrid Model: Enjoy a balanced blend of remote and on-site work.
• Diverse Team: Collaborate with a truly international team that values unique perspectives and creative ideas.
• Career Growth: Benefit from our tailor-made career development programs and a supportive growth environment.

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