Senior Data Engineer
Berlin
Artsy
Artsy is the world’s largest online art marketplace. Browse over 1 million artworks by iconic and emerging artists from 4000+ galleries and top auction houses.Artsy’s mission is to expand the art market to support more artists and art in the world. Artsy has created the world’s largest two-sided art marketplace, offering more than 1 million works by 100,000 artists from 4,000 leading galleries, fairs, auction houses, and institutions across 190 countries.
We are looking for an experienced Senior Data Engineer to join the team at Artsy, who will help design and develop the pipelines and algorithms that will allow us to build personalized features, surface insights to our users and act on the data flowing through our platform. This can involve challenges in data warehousing, data science, natural language processing, and machine learning.
The Engineering team develops innovative solutions to serve all our partners across the art world (galleries, auction houses, fairs) and is focused on making art buying a joyful and safe experience for all collectors.
We are a lean team that relies on Ruby for back-end services, Python for data engineering and machine learning, and SQL for enrichment and analysis. Our stack includes Postgres, MongoDB, Elasticsearch, Redshift, RabbitMQ, Spark, and Hive. We integrate with services like Segment and Looker to accomplish our work, and are always evaluating new patterns, tools, and technologies.
As a data engineer you'll work on pipelines, databases, and APIs as well as critical services such as search, recommendations, and market insights. You'll architect systems for scale, and you'll think about how to keep our complex, distributed platform resilient to data integrity issues or service disruptions. You'll help structure our data so it's an invaluable asset in our dynamic business environment.
Key Responsibilities:
Some areas you’ll be expected to contribute to in the coming months:
- Ingest and aggregate data from both internal and external data sources to build our world class datasets.
- Transform the growing body of art market data we've collected into meaningful insights about artists, artworks, and trends.
- Empower a data-driven culture by making high-volume activity data rapidly available for analysis.
- Collaborate with other engineers, data analysts, and product managers, taking learning and leadership opportunities that will arise every single day.
- Develop machine learning models that aid us in ranking, classification, and predictive tasks.
- Develop and scale our recommendations and similarity algorithms.
- Design and optimize Elasticsearch queries to enable art collectors to find the work they love instantly.
Candidate Qualifications:
Several years experience with some or all of the following:
- Building user-facing products powered by data.
- Scaling data pipelines and databases.
- Designing, deploying and maintaining distributed data stores.
- Large-scale data processing or enrichment.
- You are knowledgeable about data modeling, data access, and data storage techniques.
- You understand the value of collaboration within teams, and you have experience building relationships with a diverse set of stakeholders.
Preferred, but not required:
- Data science and machine learning experience in a complex product environment
Artsy Values
Artsy has five core values that will inform your experience at Artsy.
For the Love of Art: We have relentless curiosity, empathy, and passion for collectors, artists, and the art market. We are here to make the art world more fair and welcoming.
Own Our Outcomes: We are all individual owners of Artsy’s shared success. We are resourceful and resilient, and to get the job done, we each take responsibility for our outcomes.
Lead with Openness: We trust in our teammates. We seek diverse perspectives, communicate authentically, and act with integrity. A more open art world starts with us.
Transform Together: Our mission asks us to challenge the status quo. We embrace feedback, learning, and change so that we can transform our industry, our company, and ourselves.
Impact Over Perfection: Using both art and science, we debate and decide swiftly and iterate on our plans as we learn. To make the biggest impact, we prioritize speed and clarity of action over perfection.
Artsy is an equal opportunity employer. We value a diverse workforce and an inclusive culture. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status.
Tags: APIs Classification Data pipelines Data Warehousing Elasticsearch Engineering Looker Machine Learning ML models MongoDB NLP Pipelines PostgreSQL Python Redshift Ruby Spark SQL
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Data Quality Analyst jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open Airflow-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs