Solutions Engineer

dltHub; Berlin; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A data engineering startup in Berlin is looking for a Solutions Engineer to assist customers in implementing their products and supporting sales efforts. Ideal candidates have experience in technical customer-facing roles, working knowledge of Python, and an understanding of data engineering solutions. The role offers an office-first culture with opportunities for personal and professional growth, including an annual development budget.

Leistungen

Public transportation ticket covered

Team lunches

Urban Sports Club membership

Annual budget for learning and development

ESOP plan

Qualifikationen

• Experience in a technical customer-facing role like Solutions Engineer or similar.
• Working knowledge of Python and data landscape solutions.
• Experience with data engineering roles is preferred.

Aufgaben

• Help customers implement and deploy dlt OSS in their systems.
• Manage full customer lifecycle and support sales processes.
• Gather customer feedback and work with product team.

Kenntnisse

Technical customer facing experience

Knowledge of Python

Experience in Data Engineering

Quick learner

Strong problem-solving skills

Tools

dbt

Snowflake

Databricks

Airflow

Dagster

Jobbeschreibung

We are looking for an enthusiastic Solutions Engineer to help our customers implement our products in their systems, as well as assist our sales team in winning customers. If you thrive in the fast-paced environment of a small team and are excited about playing a pivotal role in shaping the product of an early-stage startup, then this opportunity is made for you.

Who we are

We are dltHub, a creator of dlt - the most popular open-source library for data loading in Python with over 3 million monthly downloads. dlt is the “EL” layer of ELT: it extracts and loads data from any source into clean, typed datasets. Developers love it because it’s modular, LLM-friendly, and lets them create new connectors in minutes.

Building on this foundation, we’re now developing dltHub - a next-generation data engineering platform built on top of dlt. dltHub combines the Pythonic simplicity of dlt with enterprise-grade compliance, security, and scalability. It provides everything needed for modern data engineering, including transformations, data quality, managed runtimes, flexible storage options, observability, and agentic tooling - empowering developers to go from local experiments to production with a single command.

We’re headquartered in Berlin and expanding across North America (Montreal → San Francisco → NYC). Our team brings deep experience in data infrastructure, machine learning, and developer tooling backed by Bessemer Venture Partners, Foundation Capital, Dig Ventures, and technical founders from Hugging Face, Metaflow, LanceDB, MotherDuck, Datadog, Mode, and Rasa.

Our culture is rooted in engineering principles: speak with courage · build what matters · automate relentlessly · deliver on commitments · win together

Your Task and Responsibilities:

The solutions engineering team both manages post-sales activities and contributes to pre-sales activities. You will be a key member of this team, performing tasks like:

• Help our customers implement and deploy dlt OSS in their systems
• Guide the onboarding and support for our upcoming paid offering - dltHub platform
• Manage the full customer lifecycle
• Collaborate with our CEO to support the sales process, e.g. by building demos
• Be the voice of customer: gather feedback from customers and collaborate with the product team to address customer challenges and feature requests
• Manage customer-facing materials (documentation, presentations, website, training materials)
• Run training sessions with customers

Who You Are

• You are based in Berlin and willing to work in our office regularly
• Experience in a technical customer facing role (e.g. Solutions Engineer, Solutions Architect, Forward Deployed Engineer or similar)
• Experience in a Data Engineering (or similar) role
• Quick learner, eager to explore new technologies
• Working knowledge of Python and data landscape solutions

Nice to Have

• Experience teaching & communicating technical material
• Prior experience with dlt’s ecosystem, e.g.:
• Iceberg
• dbt
• Snowflake
• Databricks
• DuckDB
• Relational databases (Postgres, MSSQL, Oracle, etc.)
• Airflow
• Dagster

What we offer:

In our work culture, we value each other’s autonomy and efficiency. We have set hours for communication and deep work. We like automation, so we automate our work before we automate the work of others.

• We are an office-first company but give you plenty of opportunities for deep work and work from home. Dedicated "no meeting days" to help the team focus on their most impactful work
• As we mostly work from the Berlin office, we cover your public transportation ticket
• We are deeply committed to your personal and professional growth, and as such, we allocate an annual budget for learning and development.
• We offer regular subsidized team lunches and Urban Sports Club membership.
• We also offer an ESOP plan for employees, based on their role and level of dedication. We provide an option to increase your ESOP if you grow with us.