Senior Data Engineer

Otrium Published: June 22, 2022
Location
Remote, France
Job Type

Description

Your impact

At Otrium, we don’t blindly fall in love with ideas, we listen to what the data tells us. As a Business Intelligence Engineer at Otrium, you will play a pivotal role in ensuring data-driven decision making at Otrium.

You will be a part of the growing Business Intelligence team and work on maintaining & elevating the data warehouse, building big data ETL pipelines, creating dashboards and answering complex questions about our customers and our business.

Your responsibilities

  • You will develop robust end-to-end BI & Analytics solutions according to requirements or proactively to support a variety of stakeholders make data-driven decisions
  • You will be the go-to person for all aspects of the DWH (single source of truth) design, performance, data quality
  • You will build and optimize big data’ ETL pipelines in Spark - consolidate data relating to the business from disparate sources, collaborate with teams to integrate more data sources
  • You will leverage analytics & machine learning to answer complex questions about our customers and our business
  • You will implement Looker models, create dashboards with actionable insights and facilitate self-service BI
  • You will ensure that company-wide reporting & department-specific reporting is available in a timely manner
  • The BI team’s technology stack Redshift, Spark, Looker, R / Python

Your experience, knowledge & skills

  • 6+ years of professional experience in a comparable BI Engineer or Data Engineer role in a fast-paced and dynamic business setting
  • Profound understanding of databases (relational, column-based, NoSQL), DWH design, SQL querying and optimization
  • Experience with big data tools and writing code for big data ETL pipelines using Spark / Scala / Hadoop
  • Dash-boarding & storytelling skills (experience in Looker would be an advantage)
  • Working knowledge of scalable BI&A infrastructure, APIs, workflow management tools, message queuing, stream processing, and big data’ data stores
  • Bonus points for experience in performing complex analyses, statistical techniques and implementing machine learning models in Python / R
  • Bonus points for relevant Master’s degree with a strong quantitative orientation (e.g., business, economics, tech, data, econometrics, mathematics, physics);
  • Bonus points for relevant industry knowledge (marketing, pricing, strategy, supply chain, etc.)

About you

  • You possess strong quantitative & problem solving skills
  • You are solutions-oriented, a self-starter and have an eye for detail
  • You are a quick learner, motivated and enjoy working with new technologies
  • You are able to and enjoy working in a fast-paced, dynamic and international team environment
  • You have excellent communication skills in English (written and verbal)and are able to effectively communicate technical subject matter to technical & business stakeholders

Our values : #WearIt

Every member of the O-team uses our values in their everyday working lives. They act as our internal manifesto to help us think about how we act as a collective team, and they link directly to our mission : All clothing should be worn.

Wins are celebrated. Next to working together, we celebrate our success together. With every target we make and record we break, we celebrate!

Embrace mistakes. Not only do we celebrate our successes, but we also make sure Otrium is a safe space to embrace our challenges and difficulties together.

Amaze our customers. You will be part of an enthusiastic and highly ambitious team with a growth and entrepreneurial mindset, ensuring that all clothing is worn by happy customers.

Rely on data. As a purpose-led business committed to addressing the issue of unsold inventory, we don’t blindly fall in love with ideas : we listen to what the data tells us and provide input back into the industry.

Impact on a global scale. The possibility to learn, grow, and contribute to one of the fastest-growing startups in Europe, and soon the US (with your help!).

Take ownership. Freedom and responsibility : we believe in ownership, so we will give you full responsibility to make sure you can get the job done.

APPLY HERE

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