Senior Data Engineer

At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior Data Engineer to join an agile, collaborative team where your voice matters as much as your code.

You won’t just be managing infrastructure, you’ll be a technical partner helping us build resilient systems that scale.

We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here.

We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key.

National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated.

💪 How You’ll Contribute

• Build Pipelines: Design and operate scalable end-to-end data pipelines for both real-time and batch data.
• Maintain ETL Processes: Design and maintain robust ETL processes, using dbt to ensure data is transformed and accurately modeled.
• Cross-Cloud Engineering: Leverage expertise across multiple cloud environments to build robust data ecosystems, whether utilizing AWS (S3 and core cloud services) , GCP (BigQuery and Google Cloud Storage) , or Azure (Databricks).
• Automate & Orchestrate: Use deep knowledge of Apache Airflow for scheduling, orchestrating, and monitoring workflows. Build software services and automate processes using strong Python development skills.
• Advanced Data Modeling: Apply the correct methodologies (Kimball, Inmon, Data Vault) to design Star Schemas, Semantic Models, and highly optimized platforms.

🌿 We're Looking for Someone Who...

• Has Senior-Level Impact: You bring a minimum of 5 years as a data engineer with a track record of end-to-end delivery in fast-paced environments.
• Values Collaboration: You have professional fluency in English , are an excellent collaborator between developers and leadership, and have the ability to guide others.
• Embraces Engineering Best Practices: You have a solid understanding of engineering and architectural principles , and you are comfortable collaborating on CI/CD workflows and using version control (Git)

🛠 Your Technical Toolkit:

• Cloud & Infrastructure: Hands-on experience working across AWS, GCP, or Azure , with exposure to Infrastructure as Code like Terraform.
• Data Platforms: Deep experience with modern data platforms including Databricks, and Spark.
• Orchestration & Streaming: Deep expertise in Apache Airflow or similar and familiarity with event-driven or streaming technologies like Kafka or similar and knowledge of Docker and Kubernetes for orchestration.
• Programming: Strong coding capabilities in Python , combined with advanced SQL skills for working with large-scale datasets.
• Modeling & Architecture: Highly proficient in dimensional modelling (Kimball) and building robust OLAP (Online Analytical Processing) systems.
• Experience with Search Tools (plus)

💬 Recruitment Stages

• Screening - Reviewing CVs and eligibility verification.
• 1st Call - 30 minute call to access Technical & Culture Fit with IT Recruiter.
• Tech Interview - 2 hour call with two of our Cloud Engineers to assess your technical knowledge in depth. The interview includes a theoretical section based on test-case scenarios as well as live practical exercises
• Cultural Interview - 1-hour call with a Minder to assess cultural fit with Mindera and align expectations for both parties.
• Project/Client Call - A 30 minute to 1 hour call with the client or project team to assess your technical fit for a specific project and align expectations.