Analytics Engineer
Analytics Engineer
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Job Description
Job Title
Analytics EngineerJob Description
Analytics Engineer
Veghel/Pune the Netherlands/India
Are you a data enthusiast passionate about converting raw information into valuable and actionable insights Do you thrive on collaborating with technical and business stakeholders to shape the future of data-driven solutions If your answer to these questions is yes then look no further than Vanderlande!
Well give you the opportunity to:
Work in a highly motivated global team of Data & Analytics enthusiasts.
Play a crucial role in advancing the maturity of the Data Platform contributing to delivery of analytical products and services offered by our department to the Vanderlande organization.
Work within a cloud based architecture based on Data Mesh principle
Your responsibilities
As an Analytics Engineer at Vanderlande youll 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 .
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.
Actively participate in delivery execution on the Data Platform
You are eager to improve yourself and strive for continuous enhancement of processes and development within the data platform.
Stay updated with the latest developments in the analytics field and share knowledge with the team.
Your department
The Central Data & Analytics department is tasked with extending operating and further maturing the data platform of Vanderlande. We provide Data & Analytics related products and services to Vanderlande primarily catering to internal customers but supporting our digital service portfolio. Following a hub & spoke model we establish centralized standards that are then adopted and implemented by decentralized teams within the business.
At the heart of our efforts lies the Data Platform the core product we are diligently enhancing. This Azure cloud enabled platform based on the Data Mesh principle empowers us to deliver valuable Data Products by transforming processing combining and enriching data from various source systems ultimately creating a reliable source of truth for our customers. To enable efficient data analysis and visualization we actively govern and maintain the Vanderlande Qlik Servers and Power BI Premium addition we provide templates establish a clear workflow and foster a community of experts.
Our work centers around our Federated Governance model with the Central Data & Analytics Organization as the hub serving the spokes. Our scope encompasses Data Governance Platform Operations Core Platform Development and Full stack Development. The technologies we use span across the Azure stack and Databricks ecosystem ensuring seamless integration and optimal utilization of resources.
By utilizing advanced analytics techniques and the latest technology our focus on innovation empowers us to continuously improve and innovate the Data Platform.
Operating as a scaled Agile organization we embrace the SAFe Agile framework and work collaboratively across different teams all united by a common backlog and shared roadmap. This approach allows us to be highly adaptable continuously adjusting to the evolving strategic needs of stakeholders within Vanderlande.
Your qualifications and skills
If youre an experienced enthusiastic and versatile Analytics Engineer you will bring:
Minimum bachelors degree in Computer Science Information Technology or a related field (or equivalent experience).
3-5 years of prior experience working as an Analytics 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.
Practical 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 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.
Employment Type
Full-Time
