Data Engineering Project Manager - Databricks

🚀 What We Do

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

Amazon Web Services
Astronomer
Databricks

🌟 Our Values

📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
 
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

• End-to-end project planning & delivery – Define scope, objectives, and project plans with stakeholders, ensuring adherence to timeline, budget, and resources.
• Team leadership – Assemble and lead cross-functional teams (data engineers, data scientists, etc.), assigning clear roles and tasks.
• Tracking & reporting – Monitor progress, proactively catch deviations, and implement tracking/reporting mechanisms for stakeholders.
• Risk management & governance – Establish governance structures, identify risks, and develop mitigation and contingency plans.
• Quality & continuous improvement – Maintain project documentation, promote best practices, and stay current with cloud computing trends.

Required Skills 💻

• Graduate or Postgraduate degree in Computer Science, Information Technology, or a related field.
• 7-10+ years of IT experience managing delivery and interfacing with key project stakeholders.
• At least 2 years of experience managing cloud data engagements such as data migration, data lake/data warehouse builds, data engineering, or data science projects.
• Hands-on experience with modern cloud data stacks (e.g., Databricks, Spark, Python, AWS, Azure, GCP).
• Hands-on knowledge of PM tools and techniques (Jira, Trello, Zoho Projects, Redmine, or similar).
• Experience implementing and managing Agile engineering project best practices.
• Experience in strategic planning, risk management, and/or change management.
• Strong written and spoken English.

Nice to have 💡

Experience working with Databricks-based cloud data engagements specifically.
Experience working with financial services or other regulated industry clients.
Background in consulting environments or managing multiple concurrent clients.
Knowledge of AI/ML data ecosystems.
Experience mentoring technical teams or leading technical initiatives.

Perks🎁

• Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!