We are currently looking for an aspiring data engineer to join our team of data engineers in Stockholm or Oslo!
As a member of the Data Foundations team, you will join our journey as we discover how to build and evolve state of the art data-driven products for Schibsted with an emphasis on volume, velocity, and privacy.
Schibsted’s Data Foundations are solving exciting problems at scale, spanning from gathering on average 1.5 billion events daily while keeping our users' privacy and data security in mind, to building and applying high quality predictive machine learning models. Our services are powering many use cases in Schibsted, such as producing insights about our customers, generating segments for the online advertising across our sites, and personalization of news on our media sites.
As part of Data Foundations you will be part of a great team developing a modern data processing pipeline at scale for Schibsted sites for a variety of purposes. As part of the Schibsted organization you will also have the opportunity to learn from and share knowledge with other data engineers and scientists across Schibsted. We encourage a diverse, collaborative, and creative work environment where you will develop, and push for, the state-of-the-art in big data processing with a privacy first mindset while handling reliability and high scalability from first principles.
What you’ll do
- Engineer and implement highly scalable systems and data pipelines for the Schibsted data management platform, both for real-time and batch processing. - Make use of big data frameworks including Spark, Hadoop, and Kafka, as well as with a host of AWS services, notably Kinesis, S3, DynamoDB, and EMR. - Work with product management to find the best solutions to meet our customers’ needs. - Enable teams and local sites across the Schibsted organization to develop data-driven products and services through cross-team initiatives and collaboration. - Design and implement best-in-class privacy compliant storage and access to personal data. - Help define our development environment, and communicate the best development practices within the organization (e.g. code reviews, testing, etc.). - Participate in the continuous improvement of the quality of our systems by establishing performance baselines and metrics, and SLOs based on these.
What you know
- At least a Bachelor’s degree in Computer Science, Informatics, Applied Mathematics, Statistics or any quantitative field. - Knowledge of, or hands on experience with, some of the state of the art big data technologies, such as Kafka, Spark, Flink, Hadoop, Storm, Cassandra. - Our main programming languages are Scala and Python, and being familiar with either of these is a plus. - Knowledge of, or experience with developing services and applications on, cloud solutions such as AWS, Azure, or GCP. - Interest in having an impact in our organization by keeping cross-team dependencies and relationships in mind when engineering solutions. - Familiarity with DevOps, concurrent/multithreaded programming, or distributed systems are all advantageous.
Who you are as a person
- Respectfully proactive - Friendly and optimistic - Enjoy collaborating in and across teams - Curious, who loves learning new things
Graduates with a keen interest in data engineering and related disciplines are strongly encouraged to apply. The first step is to click apply!
Schibsted is a family of digital brands with a strong Nordic position, and more than 5,000 employees. Millions of people interact with our companies every day through our leading online marketplaces, world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best, we are a fearless force for change in a society built on trust and transparency.
Product & Tech is responsible for product development and technology platforms for News Media brands. The unit consists of product managers, software engineers, UX experts, and user researchers. Most of our teams work distributed, with colleagues in Oslo, Stockholm, Krakow, Gdansk, Bergen, and Stavanger.
id: 26146763
external_id: 46-556536-9500-134879-67646
webpage_url: https://arbetsformedlingen.se/platsbanken/annonser/26146763
logo_url: null
headline: Junior Data Engineer
application_deadline: 2023-02-17T23:59:59
number_of_vacancies: 1
description:
text: We are currently looking for an aspiring data engineer to join our team of data engineers in Stockholm or Oslo!\n\nAs a member of the Data Foundations team you will join our journey as we discover how to build and evolve state of the art data-driven products for Schibsted with an emphasis on volume velocity and privacy. \n\nSchibsted’s Data Foundations are solving exciting problems at scale spanning from gathering on average 1.5 billion events daily while keeping our users' privacy and data security in mind to building and applying high quality predictive machine learning models. Our services are powering many use cases in Schibsted such as producing insights about our customers generating segments for the online advertising across our sites and personalization of news on our media sites. \n\nAs part of Data Foundations you will be part of a great team developing a modern data processing pipeline at scale for Schibsted sites for a variety of purposes. As part of the Schibsted organization you will also have the opportunity to learn from and share knowledge with other data engineers and scientists across Schibsted. We encourage a diverse collaborative and creative work environment where you will develop and push for the state-of-the-art in big data processing with a privacy first mindset while handling reliability and high scalability from first principles. \n\nWhat you’ll do\n\n - Engineer and implement highly scalable systems and data pipelines for the Schibsted data management platform both for real-time and batch processing.\n - Make use of big data frameworks including Spark Hadoop and Kafka as well as with a host of AWS services notably Kinesis S3 DynamoDB and EMR.\n - Work with product management to find the best solutions to meet our customers’ needs.\n - Enable teams and local sites across the Schibsted organization to develop data-driven products and services through cross-team initiatives and collaboration.\n - Design and implement best-in-class privacy compliant storage and access to personal data.\n - Help define our development environment and communicate the best development practices within the organization (e.g. code reviews testing etc.).\n - Participate in the continuous improvement of the quality of our systems by establishing performance baselines and metrics and SLOs based on these.\n\nWhat you know\n\n - At least a Bachelor’s degree in Computer Science Informatics Applied Mathematics Statistics or any quantitative field.\n - Knowledge of or hands on experience with some of the state of the art big data technologies such as Kafka Spark Flink Hadoop Storm Cassandra.\n - Our main programming languages are Scala and Python and being familiar with either of these is a plus. \n - Knowledge of or experience with developing services and applications on cloud solutions such as AWS Azure or GCP.\n - Interest in having an impact in our organization by keeping cross-team dependencies and relationships in mind when engineering solutions.\n - Familiarity with DevOps concurrent/multithreaded programming or distributed systems are all advantageous.\n\nWho you are as a person\n\n - Respectfully proactive\n - Friendly and optimistic\n - Enjoy collaborating in and across teams\n - Curious who loves learning new things\n\nGraduates with a keen interest in data engineering and related disciplines are strongly encouraged to apply. The first step is to click apply!\r\n\n\nSchibsted is a family of digital brands with a strong Nordic position and more than 5000 employees. Millions of people interact with our companies every day through our leading online marketplaces world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best we are a fearless force for change in a society built on trust and transparency. \n\nProduct & Tech is responsible for product development and technology platforms for News Media brands. The unit consists of product managers software engineers UX experts and user researchers. Most of our teams work distributed with colleagues in Oslo Stockholm Krakow Gdansk Bergen and Stavanger.
text_formatted: We are currently looking for an aspiring data engineer to join our team of data engineers in Stockholm or Oslo!\n\nAs a member of the Data Foundations team you will join our journey as we discover how to build and evolve state of the art data-driven products for Schibsted with an emphasis on volume velocity and privacy. \n\nSchibsted’s Data Foundations are solving exciting problems at scale spanning from gathering on average 1.5 billion events daily while keeping our users' privacy and data security in mind to building and applying high quality predictive machine learning models. Our services are powering many use cases in Schibsted such as producing insights about our customers generating segments for the online advertising across our sites and personalization of news on our media sites. \n\nAs part of Data Foundations you will be part of a great team developing a modern data processing pipeline at scale for Schibsted sites for a variety of purposes. As part of the Schibsted organization you will also have the opportunity to learn from and share knowledge with other data engineers and scientists across Schibsted. We encourage a diverse collaborative and creative work environment where you will develop and push for the state-of-the-art in big data processing with a privacy first mindset while handling reliability and high scalability from first principles. \n\nWhat you’ll do\n\n - Engineer and implement highly scalable systems and data pipelines for the Schibsted data management platform both for real-time and batch processing.\n - Make use of big data frameworks including Spark Hadoop and Kafka as well as with a host of AWS services notably Kinesis S3 DynamoDB and EMR.\n - Work with product management to find the best solutions to meet our customers’ needs.\n - Enable teams and local sites across the Schibsted organization to develop data-driven products and services through cross-team initiatives and collaboration.\n - Design and implement best-in-class privacy compliant storage and access to personal data.\n - Help define our development environment and communicate the best development practices within the organization (e.g. code reviews testing etc.).\n - Participate in the continuous improvement of the quality of our systems by establishing performance baselines and metrics and SLOs based on these.\n\nWhat you know\n\n - At least a Bachelor’s degree in Computer Science Informatics Applied Mathematics Statistics or any quantitative field.\n - Knowledge of or hands on experience with some of the state of the art big data technologies such as Kafka Spark Flink Hadoop Storm Cassandra.\n - Our main programming languages are Scala and Python and being familiar with either of these is a plus. \n - Knowledge of or experience with developing services and applications on cloud solutions such as AWS Azure or GCP.\n - Interest in having an impact in our organization by keeping cross-team dependencies and relationships in mind when engineering solutions.\n - Familiarity with DevOps concurrent/multithreaded programming or distributed systems are all advantageous.\n\nWho you are as a person\n\n - Respectfully proactive\n - Friendly and optimistic\n - Enjoy collaborating in and across teams\n - Curious who loves learning new things\n\nGraduates with a keen interest in data engineering and related disciplines are strongly encouraged to apply. The first step is to click apply!\r\n\n\nSchibsted is a family of digital brands with a strong Nordic position and more than 5000 employees. Millions of people interact with our companies every day through our leading online marketplaces world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best we are a fearless force for change in a society built on trust and transparency. \n\nProduct & Tech is responsible for product development and technology platforms for News Media brands. The unit consists of product managers software engineers UX experts and user researchers. Most of our teams work distributed with colleagues in Oslo Stockholm Krakow Gdansk Bergen and Stavanger.
company_information: null
needs: null
requirements: null
conditions: Heltid\r\nTillsvidare
employment_type:
concept_id: PFZr_Syz_cUq
label: Vanlig anställning
legacy_ams_taxonomy_id: 1
salary_type:
concept_id: oG8G_9cW_nRf
label: Fast månads- vecko- eller timlön
legacy_ams_taxonomy_id: 1
salary_description: Fast månads- vecko- eller timlön
duration:
concept_id: a7uU_j21_mkL
label: Tills vidare
legacy_ams_taxonomy_id: 1
working_hours_type:
concept_id: 6YE1_gAC_R2G
label: Heltid
legacy_ams_taxonomy_id: 1
scope_of_work:
min: 100
max: 100
access: null
employer:
phone_number: null
email: null
url: https://schibsted.com/about/
organization_number: 5565369500
name: Schibsted Sverige AB
workplace: Schibsted
application_details:
information: null
reference: null
email: null
via_af: false
url: https://emp.jobylon.com/applications/jobs/134879/create/?utm_source=ams&utm_medium=promotionserializer
other: null
experience_required: true
access_to_own_car: false
driving_license_required: false
driving_license: null
occupation:
concept_id: fg7B_yov_smw
label: Systemutvecklare/Programmerare
legacy_ams_taxonomy_id: 2419
occupation_group:
concept_id: DJh5_yyF_hEM
label: Mjukvaru- och systemutvecklare m.fl.
legacy_ams_taxonomy_id: 2512
occupation_field:
concept_id: apaJ_2ja_LuF
label: Data/IT
legacy_ams_taxonomy_id: 3
workplace_address:
municipality: Stockholm
municipality_code: 0180
municipality_concept_id: AvNB_uwa_6n6
region: Stockholms län
region_code: 01
region_concept_id: CifL_Rzy_Mku
country: Sverige
country_code: 199
country_concept_id: i46j_HmG_v64
street_address: null
postcode: null
city: null
coordinates:
18.068580000000000751469997339881956577301025390625
59.3293230000000022528183762915432453155517578125
must_have:
skills:
languages:
work_experiences:
weight: 10
concept_id: fg7B_yov_smw
label: Systemutvecklare/Programmerare
legacy_ams_taxonomy_id: 2419
education:
education_level:
nice_to_have:
skills:
languages:
work_experiences:
education:
education_level:
application_contacts:
publication_date: 2022-05-30T10:19:24
last_publication_date: 2022-11-25T23:59:59
removed: true
removed_date: 2022-08-31T11:53:25
source_type: VIA_PLATSBANKEN_DXA
timestamp: 1653898764112
application_deadline_short: 2023-02-17
publication_date_short: 2022-05-30
last_publication_date_short: 2022-11-25