Develop and maintain data pipelines, models, database structures, and orchestrations on Microsoft Azure. Transform vessel, project, campaign, and third-party data into high-quality datasets and reports. Collaborate with business stakeholders to refine requirements, support data scientists and report developers, and design modern cloud data solutions. The role requires strong data modeling, ER modeling, SQL or programming experience, and at least five years of relevant experience.
At DEME we believe in the value of data and becoming data driven. As a data engineer you will join the Data & Analytics Office (DAO) within the IT Services department. Together with the team you will be transforming DEME’s data into high quality (BIG) data sets and reports. You will enable our businesses to gain insight in their data so they can support their decisions with facts. You will be working with various kinds of data on multiple projects.
You will be creating, maintaining, and supporting data pipelines with information coming from our vessels, projects, campaigns, third party data services, and so on. You will play a key role in organizing data and developing & maintaining data models and designing modern data solutions and products on our cloud data platform.
You will work closely with the business to define & finetune requirements. You will support our data scientists and report developers across the organization and enable them to find the required data and information.Your responsibilities
You will be creating, maintaining, and supporting data pipelines with information coming from our vessels, projects, campaigns, third party data services, and so on. You will play a key role in organizing data and developing & maintaining data models and designing modern data solutions and products on our cloud data platform.
You will work closely with the business to define & finetune requirements. You will support our data scientists and report developers across the organization and enable them to find the required data and information.Your responsibilities
- You have a result-driven and hands-on mindset and prefer to work in an agile environment.
- You are a team player and good communicator.
- You have experience with SQL or other data-oriented development languages (Python, Spark etc. .. ).
- You have proven experience in developing data models and database structures.
- You have proven experience with ER modelling for documenting and designing data structures.
- You have proven experience in the development of data pipelines and orchestrations.
- You have a master or bachelor‘s degree in the field of engineering or computer science
- You like to iterate quickly and try out new things
- Ideally, you have experience with a wide variety of data tools & data like geospatial, time series, structured & unstructured, etc.
- Hands-on experience with the Microsoft Azure data platform, including Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Microsoft SQL Server, and Azure Analysis Services (AAS), is mandatory.
- Knowledge in fundamental data modeling concepts such as entities, relationships, normalization, and denormalization.
- Exposure to AI-assisted coding, code generation, and developer productivity tools is desirable.
- Experience with reporting tools is a plus (Power bi).
- Having a healthy appetite and open mind for new technologies is a plus
- Holds a bachelor's or Master's degree in computer science, information technology, or a related field.
- A minimum of 5 years of relevant experience is required.
- Job location is Chennai.
- An extensive mobility program for a healthy work-life balance.
- A permanent training track which allows you to develop yourself personally and professionally.
- A stimulating, innovative workplace with numerous growth opportunities.
- A people-oriented environment with an interactive health program and a focus on employee well-being.
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
