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Data Engineer

Krak贸w

Ads Analytics Team

Passionate about Big Data? Do you want to have a significant role in funding independent digital media while working with the newest technology? Join our Ads Analytics team as a Data Engineer!

馃敺ABOUT US

Ads Analytics team is part of Schibsted Marketing Services (SMS) which is Schibsted Media麓s Nordic advertising organisation, representing some of the strongest brands across Norway and Sweden – like VG (Norways #1 online news site), Bergens Tidende, Aftonbladet (Sweden #1 online news site), SvD and TV.nu. We have offices in Oslo, Stockholm, a significant development hub in Cracow, a growing hub in Gdansk, as well as several regional offices in Norway.

Advertising plays a central role in funding independent news media, and every day the people at Schibsted Marketing Services work hard to strengthen Schibsted麓s position in the advertising markets we operate. Your work will make a difference in how well we succeed in funding independent digital media.

馃敺ABOUT THE TEAM

You will become a part of the Ads Analytics team, composed of Data Scientists and Data Engineers.

Our daily endeavours encompass working on complex聽data products聽, including all stages of development. This involves building聽ETL pipelines聽, extracting聽insights from data聽, taking charge of our聽AWS聽infrastructure and delving into the realm of聽CI/CD. We also maintain a close cooperation with the engineering team that manages the data infrastructure for advertising.

Moreover, our interactions extend beyond borders. Team members frequently engage with business developers and operations specialists located in our markets Norway and Sweden. This connection is instrumental in maintaining a close link to the business outcomes of our work.

馃敺ABOUT THE ROLE

As a part of the Ads Analytics, your responsibilities will include:

  • Developing complex data products to assess the effectiveness of marketing campaigns
  • Building and maintaining ETL pipelines which process billions of records
  • Supporting Data Scientist through data provisioning
  • Maintaining and enhancing the existing AWS infrastructure
  • Deploying and monitoring data products in production
  • Mentoring less experienced team members

馃敺ABOUT YOU

We are seeking a聽data engineer聽with extensive experience in processing聽large volumes of data. The perfect candidate should have a mix of technical & collaborative skills.

We are looking for someone who has聽:

  • At least 3 years of experience as a聽Data Engineer or Python Engineer or ML Engineer
  • Strong knowledge of聽Python聽programming language
  • Experience with one or more cloud providers, preferably聽AWS, and a working knowledge of聽Kubernetes聽and聽Docker

Experience with processing large volumes of data through聽Spark

Comprehensive experience in various testing methodologies: unit, integration, end-to-end tests, and familiarity with testing frameworks/tools for聽Python

Experience with聽version control systems聽(e.g. git)

  • Some working experience with聽Airflow聽and聽Scala (聽would be a plus)
  • Familiarity with聽MLOps聽concepts: feature stores, model lifecycle management (would be a plus)

Here are the teamwork skills you should have聽:

  • Proactivity & Critical Thinking聽: you know how to initiate change and employ analytical thinking for efficient solutions.
  • Ownership & Engagement聽: you are able to take full project responsibility, aligning with teams and stakeholders.
  • Communication & Collaboration聽: you have strong communication skills with priority on open communication, you value feedback and foster constructive discussions.

We work in a hybrid way and would like to catch up with you at our vibrant and colourful office in Krak贸w聽1-2 days per week. This allows for collaboration and meaningful connections with the team. If you鈥檙e not the working-from-home kind of person, you are of course welcome in our office every day!

Magdalena Gorczyca Contact person Magdalena Gorczyca magdalena.gorczyca@schibsted.com
Magdalena Gorczyca Hiring Manager Mateusz 呕abicki mateusz.zabicki@schibsted.com

Our recruitment process - fully online!

Recruiter phone call

We are curious to get to know you and thus will ask you a few questions about your experience, motivation and expectations, as well as tell you more about Schibsted and our projects.

Technical interview

Now let's meet and talk about your knowledge and skills - we'll start from discussing your background/experience and then move forward to more complex topics. Don't forget asking questions too!

Team fit interview

Have a chance to meet the Product or Engineering Manager you will be working with. During this step we'll focus mostly on soft topics - your work style, approach to software development and other.

Career path

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