DataOps Engineer for internal IT Services
København, Denmark
Deloitte
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With more than 3,000 employees, Deloitte is the largest audit and consultancy firm in Denmark. We tailor solutions across Audit, Tax, Financial Advisory Services, Enterprise Risk Services, Technology, and Transformations.
About the team
You will be joining our DataOps team, a small group of specialists dedicated to data architecture and integration. We work across functions and borders to develop, maintain, and support Deloitte’s data infrastructure.
As an integral part of our team, you will have high level of influence over how you approach your work and an active voice when we make decisions. You are encouraged and expected to lead an innovative and enthusiastic culture where we help each other to think and deliver in new and improved ways.
The DataOps team is part of DK ITS, Deloitte’s internal IT department, and is based at our Danish headquarters in Copenhagen.
Job Description
We are looking for a detail-oriented and service-minded DataOps Engineer to help develop and maintain our data infrastructure while also providing 3rd-level end-user support.
Your responsibilities:
As a DataOps Engineer, you possess a solid grasp of data engineering principles and can successfully implement them in operational settings. You must have the ability to work closely in a project group, but also thrive in working independently as a specialist on tasks. It is also important that you enjoy offering end-user support in a customer-centric approach, as our responsibility involves assisting colleagues and business users.
In this role, you will make an impact by:
- Developing and maintaining our data infrastructure
- Building and supporting data integrations between systems
- Providing 3rd level end-user support through our ServiceNow portal
- Taking part in our daily operational shifts
- Ensuring our data infrastructure is compliant and secure
- Analyzing and debugging bugs and incidents
Qualifications
We imagine that you have demonstrated ability within data engineering. You are a great teammate with good social skills, and you are talented in both data engineering practice, and business orientation. You have a curious and innovative mind and comfortable with translating complex business challenges into data models.
What you bring to the team
- Up-to-date knowledge of the latest technologies within data engineering
- Experience with relevant technologies and platforms: SQL databases & T-SQL, Azure Data Factory, DataBricks, SSIS.
- Master’s degree or equivalent experience
- Full professional proficiency in written and oral English
- Residency and work permit in Denmark
Even if you do not see yourself in all the bullets above, we still encourage you to apply if you believe your skills can make an impact on our team.
Additional Information
Do you want to be part of our team?
Click the "I am interested" button above if you are ready to join our team.
Send your application, CV, and grade transcript by 14.04.2025. We process applications and arrange interviews continually, so we recommend that you apply as soon as possible.
Expected start date: 01.06.2025
Please do not hesitate to contact Dan Murray at danhansen@deloitte.dk if you have any questions about the position.
We encourage all candidates to apply for the position regardless of, e.g., age, gender (gender identity and gender expression), sexual orientation, religion, ethnicity, nationality, or disability.
By applying for this job, you will be assessed against the Deloitte Global Talent Standards. We have designed these standards to provide a consistent and exceptional Deloitte employee experience globally.
We look forward to connecting with you!
In Deloitte, you will find passionate, caring people who are curious by nature and striving to evolve. We value our different skills, perspectives and experiences and foster an environment where innovative powers thrive. To us, success is the feeling that the work we are doing will outlast us. The impact we make is not about what we achieve as individuals, but how we enable those around us to be their very best. From professional development to leadership opportunities, we empower our people to be extraordinary by playing to their strengths – because that is how we can make a difference.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Databricks DataOps Engineering SQL SSIS T-SQL
Perks/benefits: Career development Startup environment
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