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Big Data DevOps Engineer

Company Description

You will be part of the Data & Quality Team within Fixed Access – a team that thrives on collaboration, curiosity, and technical excellence. Whether it's a deep-dive into complex data sets or a quick tech brainstorm over coffee, we support each other in building cutting-edge big data solutions. Our team enjoys a good challenge – whether it's optimizing data pipelines or deciding who brings the next round of snacks!

Job Description

You will play a key role in data governance, analytics, and visualization within KPN’s 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 decision-making.
  • Design and develop data ingestion and preprocessing pipelines for batch and real-time 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 data-driven solutions, and a natural curiosity for new technologies. You are analytical, structured, and enjoy collaborating with internal stakeholders to improve data-driven decision-making. 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 Bachelor’s or Master’s 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 problem-solving skills, hands-on experience with Agile/Scrum methodologies, and a solid understanding of CI/CD, automation, and DevOps best practices.
  • Deep knowledge of Hadoop-based 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 cross-functional 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 €4,499 to €6,582, depending on your experience, based on a 40-hour workweek.
  • A fixed 13th-month 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 €1,500 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 work-life 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 it’s a city bike, e-bike, racing bike, or speed pedelec—you 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 [email protected]

At KPN, we have recruitment talent that works smartly together to succeed. Therefore, acquisition in response to this vacancy is not appreciated.

Average salary estimate

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$54988K
$79001K

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What You Should Know About Big Data DevOps Engineer, KPN

As a Big Data DevOps Engineer at KPN, located in the vibrant heart of Amsterdam, you'll embark on an exciting journey with the Data & Quality Team within Fixed Access. This role isn’t just about crunching numbers; it’s a unique opportunity to partner in collaboration, enhancing the quality and accessibility of data. You’ll dive deep into network performance metrics and traffic volumes, transforming these into actionable insights that lead to strategic decisions. Your daily tasks will include developing and implementing data governance solutions that ensure compliance and optimize our data quality processes. You'll also take charge of creating user-friendly data visualization tools and dashboards for monitoring key metrics. The thrill of this position is in continuous improvement—optimizing data processing jobs for peak efficiency and maintaining a robust CI/CD pipeline. Your innovation will directly influence our data governance strategy while supporting various internal teams with clean and structured datasets. With a proactive mindset and passion for technology, you’ll be a key player in driving KPN forward in the big data landscape. If you have extensive experience with Hadoop-based platforms and data governance tools, KPN offers a stimulating environment to further challenge your analytical skills while enjoying amazing benefits, from a competitive salary to a fantastic work-life balance. This is your chance to join a forward-thinking team that values curiosity and technical excellence!

Frequently Asked Questions (FAQs) for Big Data DevOps Engineer Role at KPN
What are the main responsibilities of a Big Data DevOps Engineer at KPN?

At KPN, a Big Data DevOps Engineer is responsible for developing and implementing data governance solutions, building data visualization tools, and designing data ingestion pipelines. You'll also optimize data processing jobs and maintain a CI/CD pipeline that supports various internal teams.

Join Rise to see the full answer
What qualifications are required to be a Big Data DevOps Engineer at KPN?

To qualify as a Big Data DevOps Engineer at KPN, you should have a Bachelor’s or Master’s degree in Big Data Engineering or a related field, along with 5+ years of experience in the field. Strong knowledge of Power BI and Hadoop-based platforms is essential, alongside expertise in CI/CD and data governance.

Join Rise to see the full answer
How does KPN support the professional development of its Big Data DevOps Engineers?

KPN provides an annual personal development budget of €1,500 for training, coaching, or courses. This investment in your growth ensures that as a Big Data DevOps Engineer, you can continually learn and stay ahead in the fast-evolving tech landscape.

Join Rise to see the full answer
What kind of tools will I use as a Big Data DevOps Engineer at KPN?

As a Big Data DevOps Engineer at KPN, you will use a variety of tools, including Power BI for data visualization and Hadoop-based technologies such as Spark and Kafka for processing large datasets effectively.

Join Rise to see the full answer
What is the work-life balance like for a Big Data DevOps Engineer at KPN?

KPN promotes a healthy work-life balance for its Big Data DevOps Engineers, allowing for flexible workdays—2 in the office and 3 remote—as well as additional vacation options to accommodate personal needs and preferences.

Join Rise to see the full answer
Common Interview Questions for Big Data DevOps Engineer
Can you describe your experience with data governance as it relates to the Big Data DevOps Engineer role?

When discussing your experience with data governance, highlight your knowledge of compliance and security protocols. Share specific examples of how you've implemented data governance solutions in previous roles and the impact they had on data management.

Join Rise to see the full answer
What methodologies do you apply when developing data ingestion pipelines?

In your response, discuss Agile or Scrum methodologies you've used when developing data ingestion pipelines. Emphasize your collaborative approach and how effective communication with stakeholders ensures that your pipelines meet business needs.

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How do you ensure data quality in your projects?

To ensure data quality, describe your approach to implementing data validation checks and using tools like Power BI for visualization. Provide examples of how you've maintained high data standards in past projects as a Big Data Engineer.

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What challenges have you faced while optimizing data processing jobs?

Reflect on specific challenges, such as performance bottlenecks or resource constraints, and discuss how your critical thinking skills led to innovative solutions that improved processing efficiency, demonstrating your problem-solving abilities.

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How do you handle version control in a CI/CD pipeline?

Discuss your experience with version control systems like Git in managing code versions for the CI/CD pipeline, emphasizing how you ensure seamless integration and delivery of updates within your workflows.

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Can you explain your familiarity with Hadoop-based platforms?

Explain your hands-on experience with Hadoop ecosystem tools, particularly Spark and Kafka, and provide examples of projects where you successfully utilized these technologies to process big data effectively.

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What tools do you use for data visualization, and why?

Detail your experience with visualization tools like Power BI and discuss how you analyze user requirements to create impactful dashboards that facilitate data-driven decision-making within organizations.

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How do you prioritize tasks in a fast-paced environment?

Convey your strategies for prioritizing tasks by discussing how you assess urgency and impact, as well as the tools and techniques you use to stay organized while delivering on multiple fronts as a Big Data DevOps Engineer.

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What strategies do you employ for effective communication in cross-functional teams?

Highlight the importance of clear communication and give examples of how you foster collaboration among cross-functional teams to synthesize diverse perspectives and achieve shared goals in your projects.

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Why do you believe a Big Data DevOps Engineer is essential for KPN?

Discuss the integral role that a Big Data DevOps Engineer plays in driving data governance, optimization, and innovation, ultimately positioning KPN as a leader in leveraging big data for strategic advantage in the telecommunications sector.

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Founded in 1989, KPN is a Dutch landline and mobile telecommunications company that serves customers at home and abroad with fixed and mobile networks for telephony, data, and television. The company is headquartered in South Holland, Netherlands.

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Full-time, hybrid
DATE POSTED
March 19, 2025

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