Data Engineer/Data Analytics Engineer || 6 To 10 Yrs

As an Analytics Engineer at Vanderlande you'll be at the forefront of driving data-driven solutions and shaping the future of our organization by working on the data platform. Your key responsibilities will involve translating business needs into functional requirements, designing and developing data products, pipelines, and reports, and analyzing data to solve use cases resulting in optimized business processes and fact-based decision-making.

As being part of a cross functional full-stack team, together with your colleagues you are responsible for the creation and delivery of an end-to-end solution to our business stakeholders. In this role, you are a tech-savvy, action-oriented, and collaborative colleague who can wear multiple hats - part Data Engineer, - part Data Analyst and even though you have an area of expertise, you can fulfil each of those roles up to a certain point.

On a day-to-day basis, you will focus on creating and maintaining data products, data pipelines using Python, PySpark and SQL, and dashboards using tools like Qlik, or Power BI. Working in an Agile environment, proactively contributes to scrum events ensuring seamless coordination with the team and swift adaptability to changing priorities. They thrive in a fast-paced, iterative development environment, where constant feedback and continuous improvement are key.

In this role, you:

• Translate business needs into functional requirements providing essential information on business use cases.
• Translate functional requirements into thorough and feasible data products, analytics solutions and dynamic dashboards;
• Utilize Python, PySpark, SQL, or R for data retrieval and manipulation.
• Develop, test, and maintain data products, pipelines by the use of the Azure stack and Databricks, ensuring data reliability and quality.
• Design and implement architectures for efficient data extraction and transformation.
• Work on creating and maintaining landing zones in the data platform.
• Actively participate in and contribute to Continuous Integration and Continuous Deployment (CI/CD) practices, ensuring smooth and efficient development and deployment processes within the data platform
• Integrate data pipelines and reports into testing frameworks, allowing for rigorous performance testing and validation to ensure seamless performance.
• Monitor and maintain data pipeline stability, offering support when required.
• Analyze, interpret, and visualize data to drive business process optimization and fact-based decision-making.
• Create, deploy, and maintain interactive dashboards and visualizations using Qlik or Power BI.
• Perform a comprehensive analysis and proactively implement solutions to assess and enhance data quality and data reliability.
• You are eager to improve yourself and strive for continuous enhancement of processes and development of our data products.
• Stay updated with the latest developments in the analytics field and share knowledge with the team.

Your Qualification and Skills:

If youre an experienced, enthusiastic and versatile Analytics Engineer, you will bring:

• Minimum bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

• 6 to 10 yrs

  of total exp with min 3 years of prior experience working as an Analytics Engineer/Data Engineer or in a similar role .
• Ability to work effectively as part of a cross-functional international full stack team, collaborating with other developers, and stakeholders.
• Experience in writing code in

  Python, PySpark, SQL, or R

  for data retrieval and manipulation is a strong preference.
• Demonstrated experience and proficiency in working with

  Azure Stack and Databricks

  is required for this role.
• Proficiency or interest in using DevOps practices and tools for continuous integration, continuous delivery (CI/CD), and automated deployment of data products and data pipelines
• Strong communication skills to effectively convey complex technical concepts in a clear and understandable manner to both technical and non-technical stakeholders.
• Enthusiastic, proactive, driven, and actively seeking opportunities for personal development and growth.
• Demonstrated curiosity and commitment to staying updated with the latest trends, tools, and best practices in the data & analytics field.
• Familiar with agile methodologies and thrives in its dynamic and collaborative environment.
• Knowledge of visualization tools like Power BI or Qlik is plus.