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Day 42
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Berlin (Zentrale)
Live, first seen by us 42 days agoEmployment type in the employer’s posting: FestanstellungFrom the employer’s posting
Build and optimize data pipelines and integrations on GCP (BigQuery, Dataflow, Pub/Sub)
Connect and integrate data sources, including APIs, to ensure data quality
Run exploratory data analysis to find trends and actionable insights
Create dashboards and visualizations in Looker or Tableau
Monitor and validate analytics systems for performance and accuracy
Building and optimizing data pipelines and integrations on GCP (BigQuery, Dataflow, Pub/Sub, etc.).
Connecting and integrating various data sources, including APIs, to ensure data quality and reliability.
Performing exploratory data analysis (EDA) to identify trends and actionable insights.
Creating dashboards and visualizations using tools like Looker or Tableau.
Monitoring and validating analytics systems for performance and accuracy
Every application is welcome here - regardless of gender, nationality, ethnic and social background, religion, ideology, disability, age, sexual orientation, or identity.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 42
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Bringing at least 5 years of experience in analytics engineering or a similar role within a tech company - Demonstrating advanced skills in Python, SQL, and data modeling. - Proficient in using GCP tools such as BigQuery, Dataflow, and Pub/Sub.
If you enjoy this - Building and optimizing data pipelines and integrations on GCP (BigQuery, Dataflow, Pub/Sub, etc.). - Connecting and integrating various data sources, including APIs, to ensure data quality and reliability.
- Demonstrating advanced skills in Python, SQL, and data modeling. - Proficient in using GCP tools such as BigQuery, Dataflow, and Pub/Sub. - Possessing strong knowledge of API connections and integrations.
- Performing exploratory data analysis (EDA) to identify trends and actionable insights. - Creating dashboards and visualizations using tools like Looker or Tableau. - Collaborate with business and tech stakeholders to prioritize tasks and deliver analytics solutions that meet business needs.
- Possessing strong knowledge of API connections and integrations. - Experienced with data visualization platforms like Looker or Power BI. - Excellent communication skills, effectively connecting data and business teams by translating business strategies into actionable technical insights, with fluency in English.
Complete your application on thermondo.jobs.personio.com. The employer’s form will show what is required.
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
...you as a Senior Analytics Engineer, to make an important contribution to climate neutrality together with us at thermondo. With your interest in renewable energies and your identification with our values, We do what we say, Better everyday, Stronger together, you will create real added value for us all.
As a certified professional with at least 5 years of experience in the field, you are passionate about transforming data into strategic insights and driving impactful business decisions. At thermondo, a leading clean tech company, we are committed to fostering an inclusive and diverse workplace where your unique perspectives are valued.
As a Senior Analytics Engineer, you will be able to lead the development of cutting-edge data solutions, collaborate with cross-functional teams, and contribute to a sustainable future. If you're ready to make a difference and thrive in a dynamic environment, Thermondo is the place for you to join our innovative journey towards a sustainable future.
Every application is welcome here - regardless of gender, nationality, ethnic and social background, religion, ideology, disability, age, sexual orientation, or identity. We are convinced that everyone is valuable and deserves a fair chance.
Software has always been part of thermondo’s DNA. We have been the first to digitize trade a decade ago. Today, our proprietary software enables 800 thermondinos to scale the heating transition in Germany. But we want more. We want to enable a fully digitized and smooth customer journey ensuring that all processes are coming together: commercial funnel, procurement, product, supply chain, project management, finance, dispatch, HR planning as well as customer-facing offerings for maintenance and home energy management.
Our product & tech teams in Xberg - the heart of Berlin - are a highly diverse and multicultural bunch. They make sure that we can make a difference and scale the energy transition in Germany and work closely together with all departments.
Join our product & tech teams and pave the way for climate-neutral living.
Is this exactly the challenge you are looking for? Then don't wait any longer and apply to us. We look forward to getting to know you!
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Berlin (Zentrale)
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