Big Data DevOps Engineer
Big Data DevOps Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
You will play a key role in data governance analytics and visualization within KPNs Fixed Networks department. Your work ensures that vast amounts of network performance and traffic data are processed visualized and transformed into actionable insights. Not only do you design and develop data analytics tools and dashboards but you also actively contribute to improving our data governance strategy.
Your responsibilities:
- Develop and implement data governance solutions for the Fixed Access network.
- Build data visualization tools and dashboards for network monitoring and strategic decisionmaking.
- Design and develop data ingestion and preprocessing pipelines for batch and realtime processing.
- Optimize data processing jobs for efficiency and performance.
- Maintain and enhance our CI/CD pipeline and DevOps practices.
- Support internal teams by providing clean structured and accessible data.
Qualifications :
You have a proactive mindset a passion for datadriven solutions and a natural curiosity for new technologies. You are analytical structured and enjoy collaborating with internal stakeholders to improve datadriven decisionmaking. Your ability to think critically and innovate helps KPN stay ahead in the world of big data and DevOps.
To be successful in this role you have at least:
- A Bachelors or Masters degree in Big Data Engineering (or a related field) and 5 years of experience as a Big Data Engineer.
- Expertise in Power BI and data governance to ensure compliance security and efficient data management.
- Strong problemsolving skills handson experience with Agile/Scrum methodologies and a solid understanding of CI/CD automation and DevOps best practices.
- Deep knowledge of Hadoopbased platforms (e.g. Spark Kafka) and data storage systems such as UDEX Data Lake.
- Excellent English communication skills (written & verbal) and the ability to work effectively in crossfunctional teams. (Knowledge of Fixed Access Networks is a plus.
Additional Information :
Of course we also offer great benefits as an employer!
- A gross monthly salary ranging from 4499 to 6582 depending on your experience based on a 40hour workweek.
- A fixed 13thmonth salary partially paid out monthly and the remainder in January of the following year. Alternatively you can allocate it to a FLEX & BOOST goal of your choice!Annual individual and collective salary increases in accordance with our CLA (Collective Labor Agreement).
- A 1500 annual personal development budget to spend as you see fit such as on training coaching or courses.
- Flexible vacation days: You can decide how to manage your time off in consultation with your manager.
- A healthy worklife balance including 2 office days and 3 remote work days transition leave and the option to swap a public holiday for one that aligns with your religious or cultural preference.
- A home office setup allowance to optimize your workspace plus a company laptop and mobile phone.
- 50 discount on our products and services allowing you to enjoy affordable internet calling and streaming.
- Excellent travel reimbursement: Full coverage of public transport costs or 0.23 per kilometer if you commute by car. Prefer cycling You can claim our bike allowance of 0.40 per kilometer.
- Option to lease a bike with monthly contributions from KPN (for permanent contracts). Whether its a city bike ebike racing bike or speed pedelecyou choose your ride!
- Outstanding pension plan with a total contribution of 23 of your pensionable salary of which KPN covers 16 and you contribute 7.
We have a strong belief in technology. Together with personal contact this belief becomes even more powerful which is why we look forward to meeting you!
Want to know more about the recruitment process Contact our recruiter Sabina Bharati via
At KPN we have recruitment talent that works smartly together to succeed. Therefore acquisition in response to this vacancy is not appreciated.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
