Data Engineer (m/f/d)

Superchat; Berlin; Hybrid; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Superchat is building a data platform end to end, owning ingestion from product databases and tools, designing dbt models, orchestration with Dagster, and ensuring data quality. You will work with a small data team to deliver gold tables used by Finance, Sales, Marketing and Product, with a hybrid Berlin office and remote options.

You will own the data pipeline from ingestion to gold tables, participate in architecture decisions, and ensure data correctness and documentation across the company.

Qualifikationen

• 3+ years building and running data pipelines in production, ideally SaaS.
• Strong in SQL and dbt with complex modeling, tests and docs.
• Experience with cloud data warehouses (Redshift, BigQuery, Snowflake).
• Reliability mindset: tests, freshness checks, idempotent loads and backfills.
• Interest in business metrics like MRR, churn, active workspace.

Aufgaben

• Own ingestion from product DBs and tools (Chargebee, HubSpot, Intercom, Amplitude, etc.) using Airbyte where possible and Python where needed.
• Design and build dbt models to transform raw data into gold tables with clear layers, naming, and docs.
• Run Dagster orchestration: schedules, dependencies, freshness checks and alerting for timely syncs.
• Build data quality into the pipeline: dbt tests, source checks and CI on PRs.
• Capture history where sources only keep current state to answer questions like last month’s plan.
• Manage Redshift performance, cost, access management, and AWS infra in Terraform.
• Maintain reverse ETL syncs (Hightouch) back into HubSpot, Intercom and related tools.

Kenntnisse

Data pipelines

SQL

dbt

AWS Redshift

BigQuery

Snowflake

Testing & monitoring

Data modeling

Tools

Airbyte

Python

Dagster

Hightouch

Metabase

Terraform

GitHub Actions

Jobbeschreibung

At Superchat, we're rebuilding how businesses talk to their customers. The phone call, the contact form, the support ticket: all of it is being replaced by messaging and AI. We're building the platform that runs underneath.

Founded in 2020, Superchat has become the platform of choice for 10,000+ businesses worldwide , from globally recognized brands like Allianz, Auto1, Enpal, Danone, and GASAG to the small businesses, dental practices, and one-person startups that need to look bigger than they are. Today, millions of messages flow through Superchat every single day .

We started as a unified inbox: one place for every channel a customer might pick, WhatsApp, email, SMS, Instagram. Then ChatGPT happened, and the second chapter began: AI agents that respond across chat, email, and voice at the quality of the best human teams.

We're 100 people , profitable , and have raised €18M in funding (last round 4.5 years ago, we've been growing on our own money since). Headquartered in Berlin.

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'll set the standards for how data is modelled and documented, and work with a Business Analyst to build the gold tables that Finance, Sales, Marketing and Product rely on.

Who We Want

• An experienced Data Engineer. You bring 3+ years of building and running data pipelines in production, ideally at a SaaS company. 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.
• Curious about the business. 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 with subscription billing or product usage data is a plus.

Who We Don’t Want

• Pure dashboard builder. You'd rather spend your days building dashboards and answering ad-hoc questions. That's our Business Analyst's job; yours is to build what they work from.
• Pure pipeline plumber. You move data from A to B but don't care what it means. Gold tables are only as good as the business understanding behind them.
• Over-engineer. You want Kafka, Spark and a lakehouse for data that fits comfortably in Redshift. We need pragmatic solutions that fit a 100-person company and can grow with it.
• Remote-only operator. You prefer fully remote work and don't want to build relationships in person. The data platform sits between many teams, and that works best with regular time together in our Berlin office.

Our Data Stack

• Warehouse: AWS Redshift
• Ingestion: Airbyte, custom Python
• Transformation: dbt
• Orchestration: Dagster
• Reverse ETL: Hightouch
• BI: Metabase
• Infrastructure & CI: AWS, Terraform, GitHub Actions

Your Day To Day

• 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.

Why People Choose Us

Mission that matters. Real impact on small businesses, not abstract metrics

Funded with conviction. $18M raised and profitable

Real ownership. 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 ...