Data Engineer: Ranking Team

hace 1 mes

Barcelona, Barcelona, España Constructor A tiempo completo

Constructor is a cutting-edge search engine and product discovery platform built primarily on AI. Its focus on ecommerce enables it to power some of the biggest ecommerce sites in the world, such as Sephora, Petco, Under Armour, Birkenstock, and Home24. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. By optimizing for ecommerce metrics like revenue, conversion rate, and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce.

The Ranking team, within the Machine Learning department, plays a central role in implementing algorithms that optimize customers' business KPIs like revenue and conversions. We focus on metrics over features, supplying our ranking algorithms with powerful capabilities that bring value to customers. The team is cross-functional, consisting of ML, BE, and FE engineers as well as designers. As a member of the Ranking team, you will be surrounded by and encouraged to use world-class analytical, engineering, and machine learning techniques on big data to evolve and scale our search algorithms.

A primary focus of the Ranking team is to develop a platform that allows internal and external users to configure ranking for business needs and experiment with new signals easily. This includes:

  1. An online high load distributed REST-based ranking service deployed in the cloud and developed in Python programming language.
  2. Offline Data Pipelines that are used for data processing (Python, Spark/Databricks), ML model training, and model signals delivering (e.g., Feature Store).

We're looking for a senior engineer with at least 4 years of experience who has solid skills in any programming language (ideally Python), big data engineering, web services, cloud providers (ideally AWS), and is willing to build many diverse things to develop the Platform.

A primary focus of this job is to design, improve, and maintain the Ranking Platform in close collaboration with other engineers from the Ranking team. The job can consist of, but is not limited to:

  • Improving Ranking Platform usability for fellow engineers.
  • Building, deploying, and supporting robust high-load real-time (ML) systems for personalized search and browse experiences.
  • Collaborating with technical and non-technical business partners to develop/update ranking functionalities (within & outside the team).
  • Optimizing current ranking service performance.
  • Optimizing signals delivery and retrieval (e.g., Feature Store) for ML models inference.

**Requirements**

  • At least 4 years of experience in software development, with proficiency in Python programming language.
  • Experience with big data tools: experience with Apache Spark or any other map-reduce framework is a must.
  • Experience with data pipeline orchestration: strong understanding of ETL/ELT processes using orchestration tools like Airflow, Luigi, or cloud-native services (AWS Glue, Step Functions).
  • Experience working with large datasets, distributed systems, NoSQL and relational databases, and caching solutions, ensuring scalability and low-latency performance.
  • Experience with performance optimization: proven experience optimizing web services & data pipelines to improve speed, reliability, and scalability.
  • Experience with real-time data processing: Experience building and supporting high-load real-time data platforms for ranking and personalization systems. Familiarity with streaming architectures using Apache Kafka, Kinesis, or Pulsar is a plus.
  • Experience with data ingestion pipelines: Ability to design and maintain robust data ingestion systems that pull data from multiple sources (e.g., APIs, databases, event streams) into the platform in real-time.
  • Experience with monitoring and alerting: Experience with setting up monitoring and alerting (e.g., Prometheus, Grafana, Datadog) to ensure the reliability and health of data pipelines and platforms in production.

**Soft Skills**

  • Experience collaborating in cross-functional teams.
  • Excellent English communication skills.
  • Enjoy helping others around you grow as developers and be successful.
  • Pick up new ideas and technologies quickly, love learning and talking to others about them.
  • Love to experiment and use data and customer feedback to drive decision making.

**Benefits**

  • Compensation: base range of 90-110k USD + stock options + work from home bonus.
  • Fully remote team - choose where you live.
  • Work from home stipend We want you to have the resources you need to set up your home office.
  • Apple laptops provided for new employees.
  • Training and development budget for every employee, refreshed each year.
  • Parental leave for qualified employees.
  • Work with smart people who will help you grow and make a meaningful impact.

**Diversity, Equity, and Inclusion at Constructor**

At Constructor.io, we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status, or affiliation in any other protected group.

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