Data Engineer til Sonat Consulting at Academic Work in Oslo, Oslo, Norway

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Job Description

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 Sonat Consulting er et lettbent konsulentfirma med kontorer i Oslo, Bergen og Trondheim, og vi s&oslash;ker n&aring; flere Data Engineers med erfaring fra blant annet Snowflake, Databricks eller annen relevant erfaring.
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  Selskap :
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 SONAT CONSULTING OSLO AS
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  By :
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 Oslo
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  Stillingskategori :
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 IT
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  Omfang :
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 Fulltid, vikariat
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  Start dato :
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 August eller september
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  Type stilling :
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 Bemanning
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  Andre :
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 Mulighet for &aring; jobbe hybrid
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  Om stillingen
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  Hva gj&oslash;r en Data Engineer i Sonat Consulting?
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 Som Data Engineer vil du v&aelig;re ansvarlig for &aring; designe og implementere robuste dataarkitekturer samt utvikle datal&oslash;sninger for v&aring;re kunder. Vi jobber med alt fra sm&aring; skalerbare datal&oslash;sninger til store datainfrastrukturer, og vi er alltid p&aring; utkikk etter &aring; v&aelig;re i forkant av teknologitrender. V&aring;re folk er lidenskapelige for sitt felt og er kjent for sin kompetanse og evne til &aring; dele kunnskap med kollegaene sine. Hos oss f&aring;r du muligheten til &aring; delta i spennende prosjekter samtidig som du utvikler din egen kompetanse. Vi er interessert i &aring; h&oslash;re om dine ambisjoner, og sammen finner vi ut hvordan vi kan hjelpe deg med &aring; n&aring; dine m&aring;l.
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  Du blir tilbudt
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   Konkurransedyktig l&oslash;nn: Vi tilbyr konkurransedyktig l&oslash;nn som anerkjenner dine ferdigheter og erfaring.
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   Firmaturer: Vi arrangerer to firmaturer &aring;rlig. Vinterturen er en familievennlig tur til vakre destinasjoner som Geilo, mens sommerturen gir deg sjansen til &aring; utforske spennende steder som Kroatia sammen med din partner
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   Faglig utvikling: Du f&aring;r muligheten til &aring; delta p&aring; &aring;tte fagdager i &aring;ret. Disse dagene er dedikert til faglig og sosial utvikling, og gir deg sjansen til &aring; holde deg oppdatert p&aring; de nyeste trendene og teknologiene.
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   Spennende kundeoppdrag: Vi tilbyr utfordrende og varierte kundeoppdrag som gir deg muligheten til &aring; anvende og utvikle dine ferdigheter.
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   Senior fagmilj&oslash;: Du vil jobbe sammen med erfarne og motiverte fagfolk som er dedikert til &aring; dele sin kunnskap og st&oslash;tte din faglige vekst.
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   Sosialt fellesskap: Vi verdsetter samhold og sosialt samv&aelig;r, og legger vekt p&aring; &aring; skape et positivt arbeidsmilj&oslash; hvor du kan bygge sterke relasjoner med kollegaene dine.
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  Vi s&oslash;ker deg som
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   Har to &aring;rs erfaring eller mer med utvikling og solid kompetanse innen Snowflake, Databricks eller andre relevante teknologier.
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   Erfaring, og gjerne sertifiseringer, med AWS, Azure eller GCP.
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   Du har sterke meninger om teknologi og trives med &aring; diskutere ideer med kollegaene dine.
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   Relevant utdanning p&aring; bachelor- eller masterniv&aring;.
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   Gode kommunikasjonsferdigheter p&aring; norsk og engelsk.
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  For &aring; Lykkes i Rollen Er Dine Personlige Ferdigheter
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   Strukturert
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   Selvstendig
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   Serviceorientert
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   Tilpasningsdyktig
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  V&aring;r rekrutteringsprosess
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 Denne rekrutteringsprosessen h&aring;ndteres av Academic Work og det er v&aring;r kundes &oslash;nske at alle sp&oslash;rsm&aring;l om stillingen rettes til Academic Work.
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 V&aring;r utvelgelsesprosess er kontinuerlig og annonsen kan lukkes f&oslash;r rekrutteringsprosessen er fullf&oslash;rt dersom vi har g&aring;tt videre til neste fase. Prosessen inkluderer to tester: en personlighetstest og en kognitiv test. Testene er verkt&oslash;y for &aring; finne rett talent til rett stilling, for &aring; muliggj&oslash;re likestilling, mangfold og en rettferdig prosess.
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  SONAT CONSULTING OSLO AS
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 Sonat Gruppen er en dynamisk organisasjon med ca. 120 ansatte i Norge, og vi opplever en rask vekst. Sonat Gruppen opererer under tre hovedbrands; Sonat Consulting, Sonat Figment &amp; TheseWays Sonat Gruppen ble etablert i Bergen, og 2017 i Oslo, og sist men ikke minst i Trondheim i 2024. Vi er stolte av v&aring;r kontinuerlige vekst og er dedikert til &aring; levere h&oslash;ykvalitets tjenester til v&aring;re kunder. TheseWays vil vi v&aelig;re samlokalisert med Sonat Consulting, dette vil ytterligere styrke v&aring;r evne til &aring; samarbeide og levere helhetlige l&oslash;sninger.
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  Bli en del av Academic Work
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 Som konsulent for Academic Work tilbyr vi gode muligheter for deg til &aring; vokse faglig og til &aring; knytte verdifulle kontakter for fremtiden. Vi tar oss av din kompetanseheving og tilbyr ogs&aring; grunnleggende b&aelig;rekraftig utvikling.
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 Les mer om v&aring;rt konsulenttilbud
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  Har du sp&oslash;rsm&aring;l om denne stillingen
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 Helene Hamre Liberg eller en av kollegaene i rekrutteringsteamet svarer deg gjerne p&aring; kandidat@academicwork.no Angi annonse-ID i din e-post: 15105513
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AI Powered Job Insights

Exciting opportunity for Data Engineers! Sonat Consulting is seeking skilled professionals with experience in Snowflake, Databricks, or other relevant technologies to join their team in Oslo. This role offers the chance to be part of a dynamic consulting firm known for its innovative approaches to data architecture and solutions.

📍 Location: Oslo, Norway
💼 Position: Data Engineer
⏰ Type: Full-time, temporary contract
📅 Start date: August or September

Role Summary:
- Responsible for designing and implementing robust data architectures.
- Develop data solutions for clients, from small scalable to large data infrastructures.
- Engage with cutting-edge technologies and stay ahead of industry trends.

What You'll Do:
- Work on exciting projects that enhance your skills and knowledge.
- Collaborate with passionate colleagues dedicated to knowledge sharing.
- Participate in regular company trips and professional development days.

What's Needed:
- Minimum of two years of experience in development with strong knowledge of Snowflake, Databricks, or similar technologies.
- Experience and certifications in AWS, Azure, or GCP are advantageous.
- Relevant bachelor's or master's degree.
- Strong communication skills in Norwegian and English.

Personal Skills:
- Must be structured and independent.
- Service-oriented and adaptable to changes.

The recruitment process is managed by Academic Work, including personality and cognitive tests to ensure a fair selection. Interested candidates should inquire with Academic Work for further details.

Top Interview Questions

  • Q: Can you describe your experience with building data architectures, particularly using Snowflake or Databricks?

    A: In my previous role, I was responsible for designing and implementing data architectures using Snowflake. I utilized its capabilities to create a scalable and efficient data warehouse that integrated multiple data sources. By applying best practices such as partitioning and clustering, I enhanced query performance and ensured quick access to real-time analytics.

  • Q: How do you approach the challenge of ensuring data quality during ETL processes?

    A: Ensuring data quality during ETL is crucial. I typically implement data validation checks at each stage of the pipeline to catch inconsistencies early. For instance, I validate schema compliance within data sources, apply transformations only after quality checks, and leverage tools like Great Expectations to define and automate data quality tests, ensuring reliable data before it reaches the destination.

  • Q: Describe a situation where you had to collaborate with a team to solve a complex data problem. What was your role, and what was the outcome?

    A: In a recent project, our team faced challenges integrating disparate data sources for analytics. My role was to lead the discussions with stakeholders to identify requirements. I facilitated workshops to brainstorm solutions and drafted a comprehensive data integration strategy. The outcome was a unified analytics platform that improved data accessibility for the client, leading to more informed decision-making.

  • Q: What strategies do you employ to stay updated with the latest trends and technologies in data engineering?

    A: I actively participate in online communities and forums such as Stack Overflow and LinkedIn groups related to data engineering. Additionally, I attend industry conferences and webinars to learn from experts. I also dedicate time each week to read articles and case studies on the latest trends, which enables me to continuously refine my skills and apply the best practices in my work.

  • Q: Explain how you would design a data solution for a new client needing to analyze big data in a cloud environment.

    A: First, I would conduct a thorough requirements analysis with the client to understand their data needs and access patterns. Then, I’d choose a cloud platform that fits their requirements, like AWS or Azure, and design a data pipeline using tools like Apache Spark or Databricks for processing. I’d also emphasize setting up a data lake strategy to store raw data while ensuring security protocols are in place. Finally, I would document the architecture and provide visualizations to help the client understand the flow of data.

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