Data Engineer, Mindfuel

Salary not provided

SQL

AWS

GCP

Python

Kafka

Airflow

Terraform

Redshift

Spark

Snowflake

Flink

BigQuery

Git

Junior, Mid and Senior level

Remote from Europe

Management platform for data & AI teams to drive Enterprise AI

Job no longer available

Management platform for data & AI teams to drive Enterprise AI

21-100 employees

B2BArtificial IntelligenceData storageBig dataAnalyticsBusiness IntelligenceSaaSData IntegrationData AnalysisData Sharing

Job no longer available

Salary not provided

SQL

AWS

GCP

Python

Kafka

Airflow

Terraform

Redshift

Spark

Snowflake

Flink

BigQuery

Git

Junior, Mid and Senior level

Remote from Europe

21-100 employees

B2BArtificial IntelligenceData storageBig dataAnalyticsBusiness IntelligenceSaaSData IntegrationData AnalysisData Sharing

Company mission

To connect the world through data.

Job

Company

Role

Who you are

Bachelor of Science (or higher) in Computer Science, Mathematics, Physics, or related quantitative field with strong academic performance
Previous work experience as data engineer and/or software engineer with strong technical hands-on skills
Very good skills in SQL, Python or another general purpose language, APIs, databases, data modelling and data transformation
Practical experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and other cloud-native technologies, ideally in GCP and/or AWS
Solid understanding of the professional software development process following the DevOps methodology including Git, Branching Workflows, CI / CD, Containers and automated testing
Analytical mindset and hands-on mentality to solve problems with your team
Strong communication skills (written and verbal) in German and English
Positive attitude and a strong commitment to delivering high-quality work

Desirable

Experience with dbt and/or workflow management tools like Airflow or Prefect
Experience with Infrastructure-as-Code tools like Terraform
Experience with streaming technologies, such as Spark Structured Streaming, Kafka Streams or Apache Flink
Familiarity with data architecture, data modelling, and/or data engineering best practices
Consulting experience

What the job involves

You develop, operationalize, and maintain various kinds of data engineering jobs, including batch and stream data pipelines to ingest data from various data sources into cloud-based data storages
With your analytical mindset and hands-on mentality, you solve any kind of data problem
You implement appropriate measures to ensure high data quality in our cloud data platforms
Together with data product analysts, you transform and model data and make data available to data consumers in the required way
You evaluate the “datability” for data product ideas by exploring data and prototyping data solutions
You continuously develop your skills along with latest technological advancements and always stay tuned with the latest best practices and tech stacks to solve data problems in the best way

Our take

Mindfuel offers both a SaaS platform as well as its own data products studio which focuses on data product management, data mesh, and data strategy, as well as a range of other data services.

The pressure on enterprises to digitise and ultimately be more data driven has fostered a very competitive data products market. However, while most startups in the space offer a single SaaS solution, it’s interesting that Mindfuel is taking a more open approach by also positioning itself as a custom data products studio and data strategy consultancy.

This approach seems to be working, as the company has worked with some major names since launching in 2019, including Cisco, Zeppelin Cat, and Scout24. That it’s grown both its customer and employee headcount quickly without seeking venture funding is all the more impressive, and should bode well for the future.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Mar 2024

$4.4m

SEED

Total funding: $4.4m

Company benefits

Remote friendly: As a remote-friendly company, we offer a super-flexible working environment that adapts to your lifestyle
our job, your tech: The hardware of your choice to do your best work
Learn on the job: Your personal development with coaches, trainings, events and more are on us
Shape the future: Your ideas matter and will have direct impact on the future of Data & AI Product Management
Community-oriented: The startup world is nothing without genuine and meaningful connections

Company HQ

Schwabing-Freimann, Munich, Germany

Leadership

Nadiem von Heydebrand

(Co-Founder & CEO)

Previously spent seven years at Data & AI company Alexander Thamm, including in roles as a Managing Data Scientist and Executive Data Scientist.

Maximilian Könnings

(Co-Founder & CPO)

Spent more than six years at home products company Vorwerk Group, as Senior Product Manager then Head of Data Products.

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