Data- & Platform Engineer

No Freelancers allowed

Range of rate 90 - 110

What will you do?
You will be a member of one of our DevOps teams designing, creating, and maintaining solutions based on the MS Azure technology stack. In doing so, we as IT partner up with our colleagues from the various departments within Vattenfall on a daily basis. The tasks and projects are varied and so are the data, the use cases and the technology.

Your tasks and responsibilities: 
● Analysing business needs and translating them into IT specifications;
● Providing expert advice both internally in the team and to various other departments in Vattenfall.
● Proactively adapting value adding solutions to the needs of other departments;
● Designing, building and maintaining data lake solutions to share data within Vattenfall & with external stakeholders;
● Implementing traditional database & DWH concepts to structure the data in the cloud, on-premise and hybrid to provide self-service reporting solutions (e.g. using PowerBI).
● Building and maintaining ETL/ELT tracks and APIs;
● Working with streaming data analytics together with business stakeholders;
● Being part of DevOps teams together with architects, requirement engineers, data engineers, data scientists and business specialists.
Who are you? 
As our Data Platform Engineer you have a hands-on mentality to solve complex issues. You have a strong drive to ask questions. You are willing to learn new tools and continuously improve your soft and hard skills. You embrace working on new topics and projects every day. You think about data as a massive asset to leverage & are familiar with data sharing concepts in the cloud. You have an agile mindset and SCRUM way of working. You feel personally committed to the goal setting and delivery of the team (local and international). You have a teaching mindset and you love to share your knowledge with the team. Last but not least you are not afraid to drink a cup of coffee with our key users.
As our Platform Data Engineer you:
● Have working experience with Analytics & BI tools and services, preferably in the MS Azure stack (e.g. Synapse workspaces and dedicated SQL pools, SQL Database, Analysis Services, Function Apps, Event Grid, Event hub, MQTT, stream analytics, Databricks, asset bundles.
● Have a technical background with an understanding of how analytics solutions are brought into life by means of preferably but not exclusively Python, SQL, Pyspark
● Are familiar with CI / CD, testing and version control (e.g. Azure DevOps, ARM, GIT or similar); Terraform, bash
● Are familiar with Data Warehousing and Data modelling concepts;
● Design, Implement and maintain Azure infra using IAC(Terraform) 
● Implement RBAC, IAM and security best practices in azure environment.
● Collaborate with developers to enable cloud native deployments 
● Support containerized workloads using Kubernetes 
● Have an understanding of IT Architecture guidelines & principles (e.g. TOGAF) and on-premise, cloud & hybrid architectural patterns; 
● Have experience in working agile; 
● Are proficient in spoken and written English; 
● Ideally you already have a good understanding of utility business processes and their IT landscape (SAP ERP, IAM, EAM, SCADA, infrastructure and security regulations like GDPR).