Lead Data Engineer at Multiconsult in Oslo, Oslo, Norway

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Job Description

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 VI S&Oslash;KER DEG SOM VIL TA EN N&Oslash;KKELROLLE I V&Aring;R DATASATSNING! BLI MED OSS OG UTNYTTE MULIGHETSROMMET
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 Som et ledende norsk ingeni&oslash;r- og arkitektselskap innen r&aring;dgivning og prosjektering, har Multiconsult evne til &aring; p&aring;ta seg de mest komplekse prosjektene markedet har &aring; tilby. Dette har vi gjort i 100 &aring;r der vi stadig har innovert m&aring;ten vi jobber p&aring;. Vi tror n&aring; at bransjen st&aring;r ved nok et veiskille, der evnen til &aring; virkelig utnytte det digitale mulighetsrommet vil v&aelig;re det som skiller de beste fra de nest beste. Et av omr&aring;dene der vi opplever et enormt uforl&oslash;st potensial er utnyttelsen av dataene som skapes gjennom alle prosjektene vi deltar i hvert &aring;r (ca. 10 000 prosjekter). Dette har vi tatt tak i, der vi har etablert en moderne dataplattform (basert p&aring; Databricks i Azure) og har startet arbeidet med &aring; bygge nye moderne l&oslash;sninger som forbedrer m&aring;ten vi jobber p&aring;. Vi har til n&aring; f&aring;tt p&aring; plass et solid fundament og h&aring;ndterer allerede alt fra sensordata til &oslash;konomidata og data fra 3D-modeller. Vi jobber use case-basert, og teknologilandskapet bygges stein for stein / teknologi for teknologi.
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 Vi ser n&aring; etter en Lead Data Engineer med lidenskap for data og automatisering. Du vil ha en ledende rolle i utformingen, implementeringen og orkestreringen av avanserte data- og analyse-l&oslash;sninger med form&aring;l om &aring; l&oslash;fte verdien vi skaper til nye h&oslash;yder. Er du opptatt av kompetansedeling, forbedrings- og utviklingsarbeid vil du passe godt inn hos oss!
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 HVA KAN VI TILBY DEG?
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 Som Lead Data Engineer blir du en fagleder i ditt team, med fokus p&aring; &aring; oppn&aring; teamets m&aring;l og v&aelig;re faglig st&oslash;tte for andre data engineers. I dette ligger det &aring; lede arbeidet med &aring; utvikle og forbedre v&aring;r dataplattform.
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 Vi kan tilby en arbeidshverdag med spennende og varierte arbeidsoppgaver i et team med dyktige og engasjerte medarbeidere. Du vil tilh&oslash;re enheten ledet av CDO i selskapet, en enhet med overordnet ansvar for digital satsing og arbeidet med innovasjon i Multiconsult Norge. Du vil v&aelig;re en sentral bidragsyter til at vi lykkes med &aring; implementere v&aring;r teknologiske arkitektur for prosessene rundt systemutvikling, data og integrasjoner til det optimale for dagens og morgendagens forretningsprosesser og kundeleveranser. N&oslash;kkelen til &aring; lykkes ligger i grensesnittet mellom forst&aring;else for bruker-/kundebehov og teknologi.
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 Hvem ser vi etter?
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 Vi ser etter deg med praktisk erfaring som data engineer, ideelt sett med en bred base av erfaring som inkluderer b&aring;de integrasjon og systemutvikling. En n&oslash;kkeldel av din rolle vil involvere design, implementering og vedlikehold av robuste data pipelines. Du b&oslash;r ha erfaring med &aring; skape skalerbare l&oslash;sninger for datainntak og prosessering. Kjennskap til Infrastructure as Code (IaC), spesielt Terraform, er fordelaktig og erfaring med data streaming eller batch streaming er &oslash;nskelig. Kjennskap til moderne utviklingsprosesser og konsepter som DevOps, DataOps og agile development er en fordel. Du m&aring; derimot ha erfaring med kodespr&aring;k som Python, Rust eller Scala og for eksempel rammeverk som Apache Spark.
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 Det er et krav om at man kan sikkerhetsklareres i denne stillingen. Sett deg gjerne inni hva det inne b&aelig;rer https //nsm.no/fagomrader/personellsikkerhet/sikkerhetsklarering/slik-blir-du-sikkerhetsklarert/
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 Hva mer kan Multiconsult tilby deg?
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   Ved &aring; jobbe med teknologi i Multiconsult, vil du v&aelig;re med p&aring; &aring; flytte selskapet inn i fremtiden. Dette gjennom at vi til enhver tid setter nye standarder og utnytter mulighetsrommene til &aring; innovere og kontinuerlig utvikle nye produkter, tjenester og forretningsmodeller
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   Spennende og langsiktige karrieremuligheter.
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   Alle medarbeidere i Multiconsult har en egen m&aring;l- og utviklingsplan med tilpassede kompetanseutviklingstiltak i tr&aring;d med &oslash;nsket karrierevei og -utvikling
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   En god balanse mellom arbeid og fritid, og firmahytter rundt omkring i hele landet
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   Gode pensjons og forsikringsordninger, samt aksjespareprogram
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   Fem ukers ferie, fri i romjulen og i p&aring;sken samt fleksibel arbeidstid
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 Er dette en rolle for deg? Er du nysgjerrig og &oslash;nsker mer informasjon om rollen og Multiconsult, vil vi gjerne h&oslash;re fra deg. V&aring;r samarbeidspartner p&aring; denne rekrutteringen er Dfind. Kontakt Frid Aulund eller Eirik Strandkleiv for mer informasjon eller eventuelle sp&oslash;rsm&aring;l. Se kontaktinformasjon og s&oslash;k p&aring; stillingen her https //www.dfind.no/ledige-stillinger/lead-data-engineer_oslo_389360/
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AI Powered Job Insights

Exciting opportunity for a Lead Data Engineer at Multiconsult in Oslo! This role is essential for those looking to impact a company's digital transformation and optimize data utilization across approximately 10,000 projects annually.

📍 Location: Oslo, Norway  
💼 Position: Lead Data Engineer  
⏰ Type: Full-time  
📅 Date Posted: Not specified  

Role Summary:  
- Multiconsult is seeking a passionate Lead Data Engineer to design, implement, and orchestrate advanced data and analytics solutions.  
- The focus will be on enhancing the value derived from data across various projects.  
- Collaboration and improvement in a team setting are highly valued.

What You'll Do:  
- Lead and support the development of the company's data platform.  
- Implement and maintain robust data pipelines for scalable data ingestion and processing.  
- Foster a culture of knowledge sharing and innovation within the team.

What's Needed:  
- Practical experience as a data engineer with a solid background in integration and system development.  
- Expertise in coding languages such as Python, Rust, or Scala; familiarity with frameworks like Apache Spark is essential.  
- Experience with Infrastructure as Code (IaC) tools, particularly Terraform and knowledge of modern development processes like DevOps and DataOps is preferred.  
- Candidates must be eligible for security clearance, a crucial requirement for this position.  

Additional Offerings:  
- Opportunities for career development and advancements.  
- Work-life balance with flexible hours and extensive vacation benefits.  
- A nurturing environment with personalized development plans and various benefits, including a pension scheme and employee stock savings options.  

If you are curious and want to learn more about this role and Multiconsult, reach out for further information.

Top Interview Questions

  • Q: Can you describe your experience in designing and implementing robust data pipelines?

    A: In my previous role, I led the design and implementation of data pipelines to process large volumes of streaming sensor data for an IoT project. I utilized Apache Spark to create efficient batch processing jobs, ensuring data was cleaned and transformed before being stored in a data lake. Additionally, I implemented monitoring solutions to track pipeline performance and quickly address any issues.

  • Q: How do you approach creating scalable solutions for data ingestion and processing?

    A: I focus on modular design principles to ensure that each component of the data ingestion process can be scaled independently. By using tools like Kafka for data streaming and Azure Data Factory for orchestrating data workflows, we're able to handle varying loads. For instance, when our data volume increased by 150%, we adapted our solutions by optimizing configurations and adding necessary resources without any downtime.

  • Q: What is your experience with Infrastructure as Code (IaC) tools like Terraform?

    A: I have extensive experience using Terraform to manage cloud infrastructure as code. For instance, I set up an entire Azure environment using Terraform scripts, which allowed us to automate resource provisioning and maintain infrastructure consistency across multiple environments. This approach not only saved time but also reduced the risk of manual errors.

  • Q: Describe a challenging technical problem you faced in your data engineering work and how you resolved it.

    A: In one project, we faced significant data latency issues due to slow processing in our ETL pipeline. To resolve this, I analyzed the bottlenecks and discovered that one of the transformation steps was inefficient. I implemented parallel processing and optimized our SQL queries, which reduced the overall processing time by 50%, ensuring that we met our real-time processing goals.

  • Q: How do you ensure that your data solutions align with user/customer needs?

    A: I prioritize open communication with stakeholders throughout the development process. I involve end-users during the requirements gathering phase to understand their pain points and expectations. Additionally, I conduct regular feedback sessions after deploying solutions to ensure they meet evolving needs. This iterative approach helps in refining our data products to better serve user requirements.

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