Job
- Level
- Experienced
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Database, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop a reliable data platform from raw data ingestion to gold tables for various departments by building and orchestrating pipelines using dbt, SQL, and Airbyte.
Job Technologies
Your role in the team
- We're hiring our first Data Engineer to own Superchat's data platform end to end, from raw product and business data to the gold tables the whole company reports on.
- Our engineers have already built the foundations, including a warehouse, pipelines, dbt and reverse ETL.
- Now we need someone to make the platform trustworthy at scale, with testing, monitoring, clear modelling layers and customer history over time.
- You will set the standards for how data is modeled and documented, and work with a Business Analyst to build the gold tables that Finance, Sales, Marketing, and Product rely on.
- Own ingestion from our product database, Chargebee, HubSpot, Pipedrive, Intercom, Amplitude and other tools, using Airbyte where it works and your own Python where it doesn't.
- Design and build the dbt models that take raw data to gold tables, with clear layers, naming and documentation that the Business Analyst and the rest of the company can rely on.
- Run orchestration in Dagster: schedules, dependencies, freshness checks and alerting, so a stalled sync gets noticed within hours.
- Build data quality in: dbt tests, source checks and CI on every pull request.
- Capture history where our source systems only keep the current state, so a question like "which plan was this customer on last March?" has an answer.
- Run the warehouse: Redshift performance and cost, access management, and AWS infrastructure in Terraform.
- Maintain the reverse ETL syncs (Hightouch) that send data back into HubSpot, Intercom and the other tools our teams work in.
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Our expectations of you
Qualifications
- You've owned a data platform, or a large part of one, and you're comfortable making the architecture calls yourself.
- Strong in SQL and dbt.
- You write and review complex SQL with ease.
- You've built dbt projects with layered models, tests, documentation.
- At home in the Cloud.
- You have worked with Data Warehouses in the Cloud, ideally AWS Redshift.
- BigQuery or Snowflake is also fine.
- Reliability-minded.
- You think in tests, freshness checks, idempotent loads and backfills.
- You want to know the data is wrong before a stakeholder tells you.
- Neugierig auf das Geschäft.
- You want to know what MRR, churn or an "active workspace" really mean, and you model data so those definitions hold everywhere they're used.
Experience
- An experienced Data Engineer.
- You bring 3+ years of building and running data pipelines in production, ideally at a SaaS company.
- Experience with subscription billing or product usage data is a plus.
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What we offer
- Mission that matters.
- Real impact on small businesses, not abstract metrics.
- Funded with conviction.
- $18M raised and profitable.
- Echte Eigenverantwortung.
- You own the data platform end to end, not one step of someone else's pipeline.
- Hybrid by design.
- Our Berlin office in Prenzlauer Berg is the center of gravity, with two work-from-home days as the standard setup.
- Direct feedback culture.
- Honest, direct, and kind feedback is part of how we work together - in 1:1s, retrospectives, and everyday collaboration.
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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Superchat
Superchat is an innovative startup from Berlin that helps companies digitize their customer interactions. The platform offers AI chatbots that enable automated responses while ensuring compliance with GDPR. Superchat caters to various industries, including e-commerce and insurance.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
