Data Engineer
2 tygodni temu
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
Ads Analytics team is part of Schibsted Marketing Services (SMS) which is Schibsted Media ́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 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 ́s position in the advertising markets we operate. Your work will make a difference in how well we succeed in funding independent digital media.
You will become a part of the Ads Analytics team, composed of Data Scientists and Data Engineers.
Our daily endeavours encompass working on complex data products , including all stages of development. This involves building ETL pipelines , extracting insights from data , taking charge of our AWS infrastructure and delving into the realm of 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.
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
We are seeking a data engineer with extensive experience in processing large volumes of data. The perfect candidate should have a mix of technical & collaborative skills.
We are looking for someone who has :
- At least 3 years of experience as a Data Engineer or Python Engineer or ML Engineer
- Strong knowledge of Python programming language
- Experience with one or more cloud providers, preferably AWS, and a working knowledge of Kubernetes and Docker
Experience with processing large volumes of data through Spark
Comprehensive experience in various testing methodologies: unit, integration, end-to-end tests, and familiarity with testing frameworks/tools for Python
Experience with version control systems (e.g. git)
- Some working experience with Airflow and Scala ( would be a plus)
- Familiarity with MLOps concepts: feature stores, model lifecycle management (would be a plus)
Here are the teamwork skills you should have :
- Proactivity & Critical Thinking : you know how to initiate change and employ analytical thinking for efficient solutions.
- Ownership & Engagement : you are able to take full project responsibility, aligning with teams and stakeholders.
- Communication & Collaboration : 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 Kraków 1-2 days per week. This allows for collaboration and meaningful connections with the team. If you're not the working-from-home kind of person, you are of course welcome in our office every day
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 interviewNow 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 interviewHave 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.
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