Fulltime

Cloud Data Engineer (Cloud Engineering, Databricks, Python)

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Tangent Works is at an exciting turning point, we’re transforming from an algorithm-first company into a product-driven powerhouse, and we’re looking for passionate builders to help us take off. Our flagship product, TANGENT, is redefining how businesses like Siemens, Shell, and Nike forecast trends and make real-time decisions. We’re expanding fast, and our mission is to make predictive analytics more accessible, actionable, and impactful for companies around the world.

If you’re driven by the thrill of building scalable systems, enjoy working with real-time data, and love the challenge of making machine learning usable at scale, come join our rocketship as we embark on this incredible journey. As a Cloud Data Engineer, you’ll be at the forefront of crafting the technology that propels our mission forward. 🚀

Key Responsibilities:

1️⃣ Backend Development & API Integration:

  • Design, develop, and maintain RESTful APIs for real-time data analysis and anomaly detection.
  • Implement and manage containerized microservices with Docker and orchestrate deployments using Infrastructure as Code.

2️⃣ Cloud Engineering & Cost Optimization:

  • Build and maintain scalable data processing systems using Azure services like PaaS, Data Lake, and Blob Storage.
  • Monitor and optimize cloud infrastructure for performance and cost efficiency using Azure monitoring tools.

3️⃣ Databricks & Distributed Data Processing:

  • Manage large-scale, secure data processing pipelines and workflows in Databricks.
  • Ensure data pipelines are optimized for both performance and cost, with a focus on real-time data flows.

4️⃣ Python Development & Machine Learning:

  • Write clean, modular Python code to support machine learning models and time series forecasting.
  • Implement data preprocessing features like imputation, scaling, and validation for time series data.

🔥Skills & Qualifications:

  • Backend Development: Strong experience in Python programming, building RESTful APIs, and scalable software solutions.
  • Cloud Expertise: Proficient in Azure services, with a focus on cost optimization and managing large-scale data systems.
  • Databricks & Data Engineering: Experience in Databricks, ETL pipelines, and distributed data processing workflows.
  • Containerization & CI/CD: Knowledge of Docker, Kubernetes, and setting up CI/CD pipelines using tools like Azure DevOps or Jenkins.
  • Project Management: Experience in MVP development, cross-functional collaboration, and agile environments.

🌟Ideal Candidate Profile:

  • Experience Level: 5+ years of experience in backend development, cloud platforms (preferably Azure), and data engineering, with a focus on Databricks.
  • Bonus Skills: Experience in machine learning, anomaly detection, and using time series data is a plus.

✨What We Offer:

  • Competitive salary and comprehensive benefits including meal vouchers, hospitalization insurance, home working allowance, and more.
  • Flexible hybrid work environment.
  • Access to professional development opportunities, including personalized training days and learning platforms like LinkedIn Learning.
  • A challenging and collaborative work environment with a focus on continuous improvement.

Apply via the form below.
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