Data Engineer: Databricks & AI | 80-100%

Posted 10 Days Ago
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Zürich, CHE
In-Office
45-45 Hourly
Entry level
Professional Services • Consulting
The Role
Build a new Databricks-based data warehouse and develop pipelines ingesting data from APIs and other systems. Prepare, transform, and model data using Spark, PySpark, and SQL, while working with Lakeflow and streaming. The role offers mentoring, hands-on enterprise experience, and opportunities to contribute to platform engineering, analytics, data modeling, or AI use cases. It is primarily on-site in Zurich, with opportunities to work from Barcelona several times per year.
Summary Generated by Built In

Build a modern data platform from the ground up, and spend a few weeks of the year doing it from Barcelona.

A Swiss tech and consulting company is building a completely new data warehouse for a large insurance company, with Databricks as the core technology. You will join the team right at the start of the project and grow into the role step by step: the first months are all about learning, with an experienced senior engineer coaching and mentoring you along the way. The goal is a permanent position after the first six months.

  • Help build a new data warehouse on Databricks from scratch
  • Develop data pipelines that ingest data from various sources (e.g. APIs and other systems) into the warehouse
  • Prepare, transform and model data using Spark, PySpark and SQL
  • Work with Lakeflow and data streaming
  • Depending on your interests, contribute to platform engineering, data modeling, analytics or AI use cases
  • Work closely with experienced engineers and learn hands-on in a real enterprise project


Requirements

We are looking for a broad profile and, above all, for someone who enjoys working with data and wants to grow in this field.

  • Studies in computer science, data science, engineering, mathematics or a related field (student or recent graduate)
  • Interest in data engineering and first experience with Python and/or SQL
  • Willingness to dive into new technologies such as Databricks and Spark
  • High motivation, curiosity and eagerness to learn
  • Structured, independent way of working and a team player mindset
  • Fluent English
  • German at B2 level or higher
  • Availability to work mainly on-site in Zurich
​

Optional:

  • First experience with Databricks, Spark/PySpark, Lakeflow or data streaming
  • Knowledge of data modeling, data analytics, machine learning or AI
  • Experience with cloud or platform engineering (e.g. Terraform, GitHub pipelines)
  • Spanish
​


Benefits
  • Start: as soon as possible
  • Workload: 80-100%
  • Duration: 6 months, with the goal of a permanent position afterwards
  • Location: On-site in Zurich, with the opportunity to work from Barcelona for 4-6 weeks several times a year
  • Salary: CHF 45 / hour


Skills Required

  • Studies in computer science, data science, engineering, mathematics, or a related field
  • Interest in data engineering and initial experience with Python and/or SQL
  • Willingness to learn Databricks, Spark, and other new technologies
  • High motivation, curiosity, and eagerness to learn
  • Structured and independent working style
  • Ability to work effectively as part of a team
  • Fluent English
  • German proficiency at B2 level or higher
  • Availability to work mainly on-site in Zurich
  • Experience with Databricks, Spark, PySpark, Lakeflow, or data streaming
  • Knowledge of data modeling, data analytics, machine learning, or AI
  • Experience with cloud or platform engineering, such as Terraform or GitHub pipelines
  • Spanish language skills
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The Company
HQ: Zürich
45 Employees
Year Founded: 1997

What We Do

ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.

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