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Senior Data Engineer / Data Architect

Schibsted Danmark



Job Description
Senior Data Engineer / Data Architect
Blocket in Sweden, FINN.no in Norway, Bilbasen and DBA in Denmark, Oikotie and Tori in Finland collectively form Schibsted Marketplaces, serving over 325 million monthly visits. Our Sales Insights department is at the forefront of data-informed decisions and strategies to enhance our market presence and optimize sales performance.

You? A passionate data enthusiast with a knack for driving decisions through data. You thrive in a dynamic environment where your technical and analytical skills have a direct commercial impact. You're excited by the prospect of shaping data architecture and leading technical initiatives.

Role? As a Senior Data Engineer / Data Architect within the Sales Insights team, you will take ownership of our data architecture, spearhead technical solutions, and collaborate closely with cross-functional teams to deliver actionable insights. Your primary responsibilities will include designing, developing, and maintaining robust ETL/ELT processes to transform raw data into meaningful business insights. You will leverage your expertise in the BI domain to drive innovation, optimise performance, and ensure the scalability of our data infrastructure.

Why us?
Impact: Lead the charge in optimising our data architecture and delivering key insights that drive commercial decisions.

Growth: Collaborate with various teams across the organisation, gaining broad experience and ample opportunities for professional growth.

Innovation: Thrive in a forward-thinking environment that embraces emerging technologies and industry trends.

Supportive Team: Join a team packed with engaged and friendly individuals who are passionate about what they do.

Sounds like your cup of tea? Check out the details below! ** **

WHO ARE YOU?

  • A minimum of 5 years of experience in the BI domain, with a focus on data engineering and data warehouse concepts.
  • Proficiency in transforming data using ETL/ELT tools, and hands-on experience with the entire pipeline.
  • Experience with cloud-based data platforms, preferably Snowflake. Knowledge of BI visualisation tools is a plus, but not required.
  • Proficiency in Python.
  • Advanced SQL skills, including performance tuning and optimization.
  • Familiarity with big data technologies such as Apache Spark and Kafka.
  • Proficiency in data modelling techniques, including dimensional modelling and star schema design.
  • Understanding of data governance, data quality management, and data security principles.
  • Experience with CI/CD pipelines and DevOps practices.
  • Experience in integrating data from various APIs and third-party sources.
  • Experience working in an agile environment, with a forward-leaning and collaborative mindset.

WHAT’S THE JOB LIKE?

  • Lead the design, development, and optimization of ETL/ELT processes to support Sales’ data needs.
  • Take ownership of the Sales Insights' data architecture, ensuring scalability, reliability, and performance.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Mentor and guide team members, fostering a culture of continuous learning and growth.
  • Stay abreast of emerging technologies and industry trends, advocating for best practices and innovative solutions.
  • Communicate effectively with stakeholders at all levels, presenting complex technical concepts clearly and concisely.

WHAT WE OFFER
We guarantee an engaging workplace where successes are celebrated, and colleagues support each other. Our benefits include various celebrations and plenty of opportunities to connect. Your well-being is a priority, supported by company benefits including physical and mental health support, flexible working hours, and on-site massage services. In our Oslo office, there's always cake to celebrate (which happens often), and in our Stockholm office, we cherish our Fika tradition.

GOT YOUR ATTENTION? Let us hear from you!
If you're looking for a workplace where you can share your knowledge, learn and grow, get inspired, be yourself, and make a difference, let us hear from you! We value diversity and welcome applicants from all backgrounds.

QUESTIONS?
Head of Business Intelligence at Sales Insight, Micheal Zamayeri (e-mail), is happy to provide information about the daily work and answer any questions you may have about the role.

While we are continually reviewing CVs, please be aware that July is a traditional holiday period for us. We kindly ask for your patience as responses may be delayed until August. Thank you for your understanding!

Work with great people
Cansu Kilit

Agile Coach

"Working in such a cross-functional team allows us to leverage diverse perspectives, which leads to better outcomes. With a shared goal, we rely on each other and help each other."

Yuri Shatalov

Visual Designer

"Cosiness, friendliness, curiosity, diversity, experience – all of this awaits you at Schibsted Marketplaces. We work in constant cooperation and collaboration with each other, and we win together."

Ingvild Nerås

Engineering Manager

"I enjoy working in a company where I feel I have the support to grow and challenge myself. There are so many passionate people here, and this inspires me in my own development."

Christina Lock Fuglsang

Product Manager

"I really appreciate the strong culture of collaboration and continuous learning at Schibsted Marketplaces. As a Product Manager I have ample opportunity for personal growth and having a meaningful impact."

Great Place to Work

  • Career opportunities across our various brands
  • Empowering body and mind with Schibsted Life
  • We embrace diversity
  • Learn and develop within Learning Lab
  • Work with products that matter in people's lives
  • Sustainability at our core

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Schibsted Danmark

Wildersgade 8, 1408 København K

Schibsted is a family of digital brands with a mission to empower people in their daily lives. We do this by providing leading online marketplaces, building world-class media houses, and helping great companies scale.

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