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Full-time
bachelor degree, postgraduate degree
Excellent Salary, Bonus, Lease Car, Laptop, Phone, Personalized Career Development Plan
Posted 41d ago
~40 hrs/week
Responsibilities
Design, develop, and deploy scalable data pipelines using the Databricks platform and integrate them with major cloud services. Collaborate with stakeholders to implement robust data models and ensure high data quality and reliability.
Requirements
Requires a university degree in Computer Science or Engineering and at least 2 years of experience as a Data Engineer specializing in Databricks. Proficiency in Python or Scala, advanced SQL, and experience with at least one major cloud platform are essential.
Full job description
Beschrijving van het bedrijf
Who are we?
We are Devoteam, an AI-driven tech consultancy with more than 11,000 tech experts spread across 25 countries in Europe and the Middle East. At Devoteam, we strongly believe in the power of technology, with AI at the heart of our approach. We partner with leading providers such as Google, Microsoft, AWS, and ServiceNow. In the Netherlands, we have around 300 experts and specialize in Cloud, Cyber, Data, and AI.
With us, you become part of a group of Tech Enthusiasts in a culture where making mistakes is allowed and where everyone—from bright young talents to experienced rockstars—is encouraged to continuously innovate and grow. We are a community that is proud of who you are and helps you get the best out of yourself. We are allergic to unnecessary hierarchies and excessive processes. At Devoteam, the only constant is 'change'.
Functieomschrijving
We are seeking a talented and passionate Databricks Data Engineer to join our expanding Microsoft Databricks team. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making.
Responsibilities:
Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness.
Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.
Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure, AWS, or GCP) for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more.
Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases.
Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.
Collaboration and Communication: Work closely with data scientists, analysts, business intelligence specialists, and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.
Continuous Learning: Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our clients.
Functie-eisen
Hold a University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI.
Proven Experience: 2+ years of experience as a Data Engineer with demonstrated expertise in Databricks.
Cloud Proficiency: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of cloud data services and infrastructure.
Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).
Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems.
SQL Expertise: Advanced SQL skills for data querying, transformation, and analysis.
Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related challenges.
Proficiency in Dutch is a big plus.
Aanvullende informatie
At Devoteam, we invest in our people. Our benefits package includes:
Devoteam is a AI-driven tech consulting firm specialised in cloud platforms, cyber, data, and sustainability.
Tech native for almost 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value.
With over 11,000 tech architects in more than 25 countries across Europe, the Middle East, and Africa, Devoteam is committed to using technology to serve people.
Offices: 73, rue Anatole France, Levallois-Perret, 92300, FR · Hay Lane, Cotton Centre, 5th floor, London, England SE1 2QG, GB · 26, Rue du Général Mouton-Duvernet, Interphone Devoteam, Lyon, Auvergne-Rhône-Alpes 69003, FR · John M. Keynesplein, Amsterdam, North Holland 1066 EP, NL · 8 Rue Claude-Marie Perroud, Toulouse, Occitanie 31100, FR
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