Lead data innovation. Shape the customer centricity of some of the largest companies in the Nordics!

Arbeidsgiver
LoyaltyCo AS
Stillingstittel
Senior Data Engineer
Frist
Snarest
Ansettelsesform
Fast

Are you eager to turbo-charge how businesses understand and interact with their customers? CPM Analytics and LoyaltyCo are uniting to lead the way in a new era of data-driven strategy and customer-focused innovation in the Nordic region – and we want you to play an important role.

CPM Analytics, we pride ourselves on our heritage of deep market and customer analysis, driving forward insights that empower strategic decision-making for our clients. Established in 2006 and consistently at the forefront of applying predictive and generative AI, navigating the evolving landscape of privacy regulations and the increasing relevance of marketing analytics. We have teamed up with Norwegian and Strawberry and we are now part of a brand-new company that will craft the most exceptional loyalty platform in the Nordic region.


SENIOR DATA ENGINEER

As our new Senior Data Engineer, you will be part of our expert team in delivering marketing insights and marketing science. You're not just joining a company; you're taking part in a mission to integrate data-driven strategy into the heart of our clients' businesses, enhancing loyalty programs and creating unmatched value across an ecosystem of partners. Your role will include continuous innovation, agility, and deep customer engagement, driving us to redefine industry standards and deliver personalized, user experiences that put the customer at the center of our clients’ services.

We are calling for those passionate about merging strategic vision with practical execution, thriving in an environment that values fast-paced development, close client relationships, and a commitment to excellence. From our Oslo office, you will play a key role in a team that's not just challenging the status quo but is passionate about building meaningful connections between consumers and brands.

Join us to be at the forefront of creating unique datacentric value propositions.


Responsibilities:

  • Architect and implement data solutions: Design and develop scalable and efficient data pipelines, ensuring optimal processing and storage of datasets.
  • Select and implement tools: Evaluate, select, and implement the right tools and technologies for data processing, transformation, and storage, keeping abreast of industry best practices.
  • Collaborate across teams: Work closely with data scientists, analysts, and other cross-functional teams to understand their requirements and provide robust data solutions.
  • Data transformation and preparation: Transform and prepare diverse data sets from various sources, such as flat files (CSV/Parquet), SQL and Non-SQL databases to be ingested on Snowflake.
  • Data Modeling and Transformation: Utilize advanced data modeling techniques to structure and organize data for analytical purposes, ensuring accuracy, efficiency, and ease of analysis using dbt.
  • Programming proficiency: Exhibit strong programming skills in SQL ensuring the development of maintainable and efficient code.
  • Cloud and containerization: Leverage cloud services (AWS and Snowflake) and containerization tools (Docker and Kubernetes) to optimize scalability, availability, and perform.


Required experience and qualifications:

  • Proven experience: A track record of successfully deploying and maintaining data engineering solutions in real-world applications, ideally using Snowflake and dbt.
  • Cloud and containerization skills: Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Programming languages: Proficiency in at least one programming language commonly used in data engineering (e.g., SQL, Python, Scala, Spark...).
  • Strong analytical and problem-solving skills: Ability to analyze complex data engineering challenges and devise innovative solutions.

Personal attributes:

  • Continuous learner: A passion for staying updated on the latest trends and technologies in data engineering.
  • Collaborative team player: Ability to work effectively in cross-functional teams, fostering a collaborative and innovative work environment.
  • Adaptability: Thrives in a fast-paced, evolving tech landscape and is adept at adapting to new challenges.
  • Bonus attributes: Fluent or willingness to learn Norwegian.

What will you get from working with us?

  • Varied responsibilities and challenging tasks in a start-up environment
  • Competitive terms of employment and good benefit schemes
  • Collaborative and supportive work environment, where we are all motivated, engaged and committed in driving the company to exceed expectations.

The role will report to Head of Data and Analytics at CPM Analytics, and LoyaltyCo


Hiring process:

Ideally, we are looking for someone to join as soon as possible, however, finding the right mix of dedicated employees to the company is at the core of all decisions in the hiring processes.

If you want to apply for this role, please do so by attaching your CV & application, and link to a detailed LinkedIn profile.

We will review applications and call for interviews on a continuous basis.

About CPM Analytics

At CPM Analytics, short for Customer Portfolio Management, we value diversity and recognize that talent manifests in myriad forms. If you have a passion for data engineering and innovation, we invite you to apply—even if you feel you don't meet every criterion. We're committed to fostering an inclusive work environment where your unique skills and perspectives are valued. Your distinct expertise could be the key to enriching our team.

About Norwegian LoyaltyCo AS

Would you like to turbo-charge the way businesses engage with their customers? Now you have the possibility to join Norwegian and Strawberry, renowned pioneers in the airline and hotel industries, and become part of a brand-new company that will craft the most exceptional loyalty proposition in the Nordic region.

At the heart of our vision is the desire to elevate existing loyalty programs to unprecedented heights and make them an integral part of people's daily lives. Our goal is to seamlessly connect these loyalty programs through a shared currency, empowering our members to earn and redeem loyalty points across a wide array of partners, whether it's during their daily routines or globetrotting adventures. Personalized offers and cutting-edge digital services will be at their fingertips, all delivered through a mobile-first customer experience. We are not just redefining loyalty programs; we're putting the customer front and center of our mission.

The new venture will consist of a team that aim to bring passion and drive. Our dynamic and fast-paced work environment will provide lots of opportunities to innovate and shape this innovative tech startup. At the core of our values is the belief that by bringing passion, pushing forward, and demonstrating genuine care and consistency, we can exceed expectations and shape new and valuable relationships between people and brands for our customers. To succeed, we must challenge old rules with new ideas.

Om arbeidsgiveren

Our vision is to take existing loyalty programmes to new heights and make them integral to people's everyday lives. Our goal is to seamlessly connect these programmes through a shared loyalty currency, enabling members to get to great rewards faster than ever before. Personalised offers and cutting-edge digital services will be at their fingertips, all delivered through one great app. We are changing the face of loyalty in the Nordics, putting customers front and centre of our mission. 

Sektor
Privat
Sted
Inkognitogata 33, 0256 Oslo
Bransje
Internettbaserte tjenester,
IT,
IT - programvare
Stillingsfunksjon
Analyse,
Dokumentasjon,
Annet
Arbeidsspråk
Norsk

Nøkkelord

data, AI, analytics, crm, ML

Spørsmål om stillingen

Kontaktperson
Sondre Wassås
Stillingstittel
Chief Data & Analytics Officer
Følg firma
116 følger dette firmaet

Inkognitogata 33, 0256 Oslo

Annonseinformasjon

FINN-kode 350159573
Sist endret 25. apr. 2024 12:06

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