Craft is the leader in supplier intelligence, enabling enterprises to discover, evaluate, and continuously monitor their suppliers at scale. Our unique, proprietary data platform tracks real-time signals on millions of companies globally, delivering best-in-class monitoring and insight into global supply chains. Our customers include Fortune 500 companies, government agencies, SMEs, and global service platforms. Through our configurable Software-as-a-Service portal, our customers can monitor any company they work with and execute critical actions in real-time. We’ve developed distribution partnerships with some of the largest integrators and software platforms globally.

Craft’s open supplier profiles appear in over 100 million organic search results each month, driving over 2 million monthly active users on our website with zero marketing spend. We are a high-growth technology company backed by top-tier investors in Silicon Valley and Europe, headquartered in San Francisco with hubs in Seattle and London. We support remote and hybrid work, with team members across North America, Canada, and Europe.

We're looking for innovative and driven people passionate about building the future of Enterprise Intelligence to join our growing team!

About the Role:
Craft is looking for an experienced and motivated Data Engineer to join a team responsible for a key product within the organization. As a core member of this team you will have a great say in how solutions are engineered and delivered. Craft gives engineers a lot of responsibility, which is matched by our investment in their growth and development.

We’re growing quickly and looking to hire data engineers for several of our teams. Each team is looking for someone with strong data engineering experience, Python coding experience, and solid software engineering practices. In addition to those skills, each team has a more specific list of qualifications that they’re targeting based on the specific needs of the team. If you feel that you could be a fit for one or multiple teams here, please apply and we’ll be sure to discuss each team and their needs during the initial interview!

What You'll Do:

• Building and optimizing data pipelines (batch and streaming).
• Extracting, analyzing and modeling of rich and diverse datasets.
• Designing software that is easily testable and maintainable.
• Support Data Engineering Lead in setting data strategies and vision.
• Keep track of emerging technologies and trends in the Data Engineering world, incorporating modern tooling and best practices at Craft.
• Work on extendable data processing systems that allows to add and scale pipelines.
• Apply machine learning techniques such as anomaly detection, clustering, regression classification, summarisation to extract value from our data sets.

What We're Looking For (General Qualifications):

• 2+ years of experience in Data Engineering.
• 2+ years of experience with Python.
• Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance and observability of data pipelines in a production environment.
• Strong knowledge of SDLC and solid software engineering practices.
• Knowledge and experience of Amazon Web Services (AWS) and Databricks (nice to have).
• Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow.
• Strong problem solving and the ability to communicate ideas effectively.
• Familiar with infrastructure-as-code approach.
• Self-starter, independent, likes to take initiative.
• Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
• Familiarity with at least some technologies in our current tech stack:
  • Python, Py Spark, Pandas, SQL (Postgre SQL), Airflow, Docker
  • Databricks & AWS (S3, Batch, Athena, RDS, Dynamo DB, Glue, ECS)
  • Circle CI, Git Hub, Terraform

What Each Team is Looking For (Team Specific Qualifications):

• One team is looking for someone who is more of a Data Platform Engineer. The focus will be on data platform development and creating and maintaining reusable components and tools for data engineers to build high-quality data services. Looking for: experience with AWS, Databricks, Spark/Py Spark (including Spark Structured Streaming), Postgre SQL, CDC solutions, Kafka, and data lakes.
• Another team is looking for a Data Engineer with Back-End Experience. The focus will be on API development and traditional data engineering tasks. Looking for: strong background in Python plus experience with Pandas, data transformations, asyncio, creating APIs (Graph QL, microservices), loading for API consumption, orchestration with Airflow, Kafka, No SQL and SQL databases, and building data pipelines
• Same team as above is also looking for a Data Engineer with search engine experience (Elastic Search). The focus will be on search engine development. Looking for: experience with Elastic Search, some level of knowledge of Golang (or willingness to learn), strong background in Python plus experience with Pandas, data transformations, asyncio, creating APIs (Graph QL, microservices), loading for API consumption, orchestration with Airflow, Kafka, No SQL and SQL databases, and building data pipelines.

Please note: Experience with all technologies is not required to be considered for any of these roles.

What We Offer:

• Option to work as a B2B contractor or full-time employee
• Competitive salary at a well-funded, fast-growing startup
• PTO days so you can take the time you need to refresh!
  • Full-time employees: 28 PTO days allotted + 13 public holidays (41 total paid days off)
  • B2B contractors: 15 PTO days allotted + 13 public holidays (28 total paid days off)
• Uncapped sick leave so you can focus on your health when you need it
• 100% remote work (or hybrid if you prefer! We have coworking place in center of Warsaw.)
• zł 400 monthly wellness/learning stipend (Gym memberships, meals, snacks, books, classes, conferences, etc.)

A Note to Candidates:
We are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, caste, or disability status.

Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Craft, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!