ଚାକିରି
ପାର୍ଟନର ଫିଡ୍ ରୁ
Senior Analytics Engineer
ଅନୁରୋଧ ଅନୁଯାୟୀ ମୂଲ୍ୟ
ବିବରଣୀ
- ନିଯୁକ୍ତି ପ୍ରକାର
- ପୂର୍ଣ୍ଣ ସମୟ
- ରିମୋଟ୍
- ନା
- କମ୍ପାନୀ
- Cosuno
ବିବରଣୀ
Your mission
As a member of our Data team, you'll take full ownership of the systems that turn raw data into decisions—for our product, our internal teams, our customers, and our investors. You won't just maintain dashboards; you'll own the pipeline end to end, from ingestion to the numbers people actually act on.
In your first few months, you might:
• Take ownership of our dbt pipeline, improving our data models so they're reliable, well-tested, and easy to build on.
• Maintain and extend our Looker setup, and ship new dashboards and reports that customers and other stakeholders depend on.
• Strengthen our data pipeline from Postgres to BigQuery, and build custom Python scripts to automate the flows that keep our warehouse fresh.
• Integrate our data warehouse with external tools like Salesforce or ActiveCampaign, so the right data reaches the teams that need it.
How We Build: Our Engineering Culture
We believe in a calm, collaborative, and productive engineering environment. We trust our people and give them the autonomy to do their best work. Our approach includes:
• Ownership Over Handoffs: On a small data team, you own your work from ingestion to dashboard. We trust you to make decisions and run with them.
• Quality by Default: We treat our data models like production code—tested, version-controlled, and documented—so the numbers we serve are ones we can stand behind.
• DevOps Mindset: We automate the boring parts. Pipelines, syncs, and checks are powered by third-party tools or GitHub Actions so the team can focus on the work that needs a human.
• Collaboration & Transparency: We value open discussion, constructive reviews, and a culture where the best idea wins, regardless of who it comes from.
• AI-Native by Default: We work heavily with Claude Code and other AI tools, and they're a core part of how we build—from writing models and scripts to debugging pipelines and exploring data. We expect everyone on the team to use them fluently and keep getting better at it.
Your profile
We're looking for an experienced data practitioner who likes owning the full stack of an analytics platform. You'll be a great fit if you have:
• Significant professional experience building and maintaining data models with dbt and writing advanced SQL .
• Solid Python skills for data syncing, automation, and general scripting.
• Hands-on experience with a cloud data warehouse such as BigQuery , and comfort working with source databases like Postgres .
• Experience building dashboards and serving data to non-technical stakeholders (a strong command of Looker is a big plus).
• Strong, hands-on familiarity with AI coding tools—especially Claude Code —and a habit of using them as part of your daily workflow.
• A pragmatic approach to problem-solving and a high sense of ownership, feeling comfortable driving projects independently.
• Excellent communication skills in English.
Bonus Points For (Nice-to-Haves):
• Experience with reverse ETL or integrating a data warehouse with tools like ActiveCampaign or Salesforce.
• Experience building and maintaining CI/CD or automation pipelines (e.g. GitHub Actions).
• Experience preparing data and reporting for external audiences such as customers or investors.
• An interest in data engineering best practices, pipeline reliability, and infrastructure-as-code.
Why us?
• Competitive Compensation: A competitive salary above the market average.
• Work-Life Balance: Choose to work 100% remotely or from our modern office in Berlin. We offer flexible working hours to fit your life.
• Top-Notch Equipment: A new MacBook Pro to ensure you have the best tools for the job.
• A Great Team: Regular company off-sites and team events that connect us as people, not just colleagues.
• Job Security: A permanent contract in a stable, well-funded company.
About us
Cosuno – Revolutionizing construction through technology.
We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity.
Why Cosuno?
Artificial intelligence is the key to our solution: it analyzes millions of price data points and helps construction companies create precise and efficient bids. This not only saves our customers time but also helps them avoid unnecessary costs.
But for us, it's not just about technology – it's about the people who drive it. At Cosuno, you will work with creative minds who are reshaping the construction industry. We believe in diversity because we know that the best ideas come from different perspectives. An integrative and inclusive work environment is a matter of course for us.
Join us – Build the future of construction.
Compensation: €80K – €100K
• • €80K – €100K
Find Jobs in Germany on Arbeitnow
Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/cosuno/senior-analytics-engineer-berlin-20803)
As a member of our Data team, you'll take full ownership of the systems that turn raw data into decisions—for our product, our internal teams, our customers, and our investors. You won't just maintain dashboards; you'll own the pipeline end to end, from ingestion to the numbers people actually act on.
In your first few months, you might:
• Take ownership of our dbt pipeline, improving our data models so they're reliable, well-tested, and easy to build on.
• Maintain and extend our Looker setup, and ship new dashboards and reports that customers and other stakeholders depend on.
• Strengthen our data pipeline from Postgres to BigQuery, and build custom Python scripts to automate the flows that keep our warehouse fresh.
• Integrate our data warehouse with external tools like Salesforce or ActiveCampaign, so the right data reaches the teams that need it.
How We Build: Our Engineering Culture
We believe in a calm, collaborative, and productive engineering environment. We trust our people and give them the autonomy to do their best work. Our approach includes:
• Ownership Over Handoffs: On a small data team, you own your work from ingestion to dashboard. We trust you to make decisions and run with them.
• Quality by Default: We treat our data models like production code—tested, version-controlled, and documented—so the numbers we serve are ones we can stand behind.
• DevOps Mindset: We automate the boring parts. Pipelines, syncs, and checks are powered by third-party tools or GitHub Actions so the team can focus on the work that needs a human.
• Collaboration & Transparency: We value open discussion, constructive reviews, and a culture where the best idea wins, regardless of who it comes from.
• AI-Native by Default: We work heavily with Claude Code and other AI tools, and they're a core part of how we build—from writing models and scripts to debugging pipelines and exploring data. We expect everyone on the team to use them fluently and keep getting better at it.
Your profile
We're looking for an experienced data practitioner who likes owning the full stack of an analytics platform. You'll be a great fit if you have:
• Significant professional experience building and maintaining data models with dbt and writing advanced SQL .
• Solid Python skills for data syncing, automation, and general scripting.
• Hands-on experience with a cloud data warehouse such as BigQuery , and comfort working with source databases like Postgres .
• Experience building dashboards and serving data to non-technical stakeholders (a strong command of Looker is a big plus).
• Strong, hands-on familiarity with AI coding tools—especially Claude Code —and a habit of using them as part of your daily workflow.
• A pragmatic approach to problem-solving and a high sense of ownership, feeling comfortable driving projects independently.
• Excellent communication skills in English.
Bonus Points For (Nice-to-Haves):
• Experience with reverse ETL or integrating a data warehouse with tools like ActiveCampaign or Salesforce.
• Experience building and maintaining CI/CD or automation pipelines (e.g. GitHub Actions).
• Experience preparing data and reporting for external audiences such as customers or investors.
• An interest in data engineering best practices, pipeline reliability, and infrastructure-as-code.
Why us?
• Competitive Compensation: A competitive salary above the market average.
• Work-Life Balance: Choose to work 100% remotely or from our modern office in Berlin. We offer flexible working hours to fit your life.
• Top-Notch Equipment: A new MacBook Pro to ensure you have the best tools for the job.
• A Great Team: Regular company off-sites and team events that connect us as people, not just colleagues.
• Job Security: A permanent contract in a stable, well-funded company.
About us
Cosuno – Revolutionizing construction through technology.
We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity.
Why Cosuno?
Artificial intelligence is the key to our solution: it analyzes millions of price data points and helps construction companies create precise and efficient bids. This not only saves our customers time but also helps them avoid unnecessary costs.
But for us, it's not just about technology – it's about the people who drive it. At Cosuno, you will work with creative minds who are reshaping the construction industry. We believe in diversity because we know that the best ideas come from different perspectives. An integrative and inclusive work environment is a matter of course for us.
Join us – Build the future of construction.
Compensation: €80K – €100K
• • €80K – €100K
Find Jobs in Germany on Arbeitnow
Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/cosuno/senior-analytics-engineer-berlin-20803)
ଏହି ତାଲିକା ଏକ ପାର୍ଟନର ଫିଡ୍ରୁ ଆସିଛି। ଉତ୍ସ ୱେବସାଇଟ୍ରେ ଆବେଦନ କରନ୍ତୁ।
ଉତ୍ସ: Cosuno
ଅବସ୍ଥାନ
ବର୍ଲିନ, ଜର୍ମାନୀ
Cosuno ଦ୍ୱାରା ପ୍ରଦତ୍ତ ତାଲିକା।
