Lead Data Engineer

You are

Passionate about cloud and data analytics, an inspiring leader who enjoys mentoring others while staying hands-on with technology. Curious and eager to learn new technologies. One that would like to lead and work with a team of like-minded people.

Opportunity overview

You will lead a team working on projects involving modern cloud data lake implementations, leveraging Databricks, CI/CD and cloud services as your daily driver. You'll balance technical leadership with hands-on development work.

Your impact zone

• Leading and mentoring a team of data engineers while remaining actively involved in development.

• Designing, implementing, and optimizing modern cloud-based solutions.

• Building and launching new data models and data pipelines.

• Defining technical standards and architectural decisions for the team.

• Implementing best practices in data engineering including data integrity, quality, and documentation.

• Optimization of existing analytical solutions.

• Conducting code reviews and ensuring high quality deliverables.

• Collaborating with stakeholders to translate business requirements into technical solutions.

• Being a role model and driving continuous improvement within the team.

Qualifications & tech toolbox

• 5+ years of experience delivering complex data warehouse / data lake / business intelligence solutions.

• 1+ years of experience in a technical or team lead role.

• 3+ years of experience working with cloud services (Azure / GCP / AWS).

• Strong expertise in Python.

• Advanced SQL and data analysis skills, deep knowledge of relational databases (preferably SQL Server, PostgreSQL).

• Strong knowledge of public cloud architecture, security, networking concepts and best practices (MS Azure preferred).

• Expertise in DWH data modeling practices and ETL/ELT development.

• Excellent conceptual and analytical skills – the ability to define, analyze and document complex business and technical requirements.

• Strong communication and leadership skills.

• Experience in mentoring and developing engineers.

Extra stardust for

• Experience with Apache Spark or Databricks platform.

• Experience with Azure DevOps environment.

• Experience with Apache Airflow.

• Certifications in cloud technologies (Azure, AWS, GCP).

• Experience in agile methodologies and project management.

Here's why you'll love Cloudfide

• BENEFITS: Regardless of the form of employment - Budget for your professional development - training and certification. MyBenefit cafeteria (with Multisport). Medicover medical care. Team-building meetings and trips.

• FLEXIBILITY: Enjoy the freedom of working from anywhere, and have a genuine say on our tools, tech, and solutions.

• STABILITY: Stable and long-term employment (employment contract, B2B).

• START-UP CULTURE: Open communication, creative problem solving and a flat hierarchy.

• GROWTH: Skyrocket your career by exploring new territories – you can work on various projects related to Big Data and Cloud, and grow your leadership skills.

• COLLABORATION: Be part of our diverse, passionate team, where every voice matters. Work in a company full of well-coordinated people who do their work with passion and commitment.

Equal opportunities

CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.