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Factor Eleven

Senior Data Engineer (Remote, Italy, Spain, Romania, m,d,f)

Factor Eleven, Romania, Pennsylvania, United States

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YOUR MISSION We are looking for a Senior Data Engineer to shape and scale our open lakehouse data platform built on Snowflake (compute) and Apache Iceberg tables on AWS S3. You’ll own end-to-end design and evolution of robust, scalable pipelines that power analytics, ML, and customer-facing features across our SaaS digital advertising products.

You’ll collaborate with Product and Engineering to keep systems performant, reliable, and business aligned. You’ll ship hands-on, lead technical design, run code reviews, and mentor others in modern data engineering practices.

To thrive here, you need

Deep expertise in open lakehouse architectures – Snowflake as compute + Apache Iceberg on cloud object storage

Hands-on production experience with:

Iceberg catalog management (Apache Polaris, Glue, or Hive)

Time-travel / snapshot queries

Partition evolution & schema evolution safety

Snowflake Iceberg external tables, query tuning, clustering, cost control, RBAC/masking

Strong production proficiency in dbt – authoring complex models, incremental logic, snapshots, exposures, custom tests, and CI/CD integration using dbt Core + Snowflake/Iceberg adapters

Experience working with AWS Cloud Platform

DataOps / IaC (Terraform, dbt Cloud)

Real-time streaming (Apache Kafka/Flink, AWS Kinesis)

YOUR RESPONSIBILITIES

Design, build, and maintain scalable data pipelines, architectures, and platforms with a focus on reliability and efficiency

Implement ETL/ELT processes with rigorous quality checks and governance to ensure data accuracy and consistency

Mentor data engineers, share best practices, and foster a culture of learning and ownership

Partner with Engineering, Product, and Business to translate requirements into high-impact data solutions

Own project execution end-to-end—scoping, estimation, delivery, and communication

Champion testing, documentation, and observability through design reviews and technical leadership

Stay ahead of industry trends in cloud data, big data processing, and real-time analytics.

YOUR PROFILE

5+ years in data engineering, with hands-on production experience building open lakehouses using Snowflake + Apache Iceberg

Strong production track record with dbt – complex models, dependencies, incremental logic, custom tests, CI/CD

Advanced SQL + Python; you build idempotent, observable, schema-safe pipelines

Deep knowledge of data modelling trade-offs, distributed systems, and big data frameworks

Excellent communicator – you distil complex topics for technical and non-technical audiences with empathy

Proven collaborator with strong problem-solving, mentoring, and project management skills

(Bonus) Built and maintained a production-grade open lakehouse from scratch (Iceberg + catalog + compute)

(Bonus) Familiar with DataOps, IaC, or real-time streaming pipelines.

Factor Eleven's tech department is the inhouse tech scale-up responsible for our SaaS product suite offering localized digital advertising to enterprises of all sizes and shapes. We're powering the engine that Factor Eleven is successfully built upon and elevate the possibilities of our product on a daily basis. We're working together to fulfill our ambitions as a top ad-tech provider by continuously leveling up the quality and expanding capabilities of the entire platform, as well as our engineering and product organization.

Join our amazing team in our mission to move digital localized advertisement forward and enjoy the freedom, camaraderie and perks of our fully remote operations.

OUR PERKS & BENEFITS

Transparent, above-market salaries

100% remote within Europe

Flexible work-hours and part-time models

Be part of a fast-growing, highly-skilled team

In person department and company events

Home office, co-working space and work-together allowance

Personal and professional development courses from Udemy

Please note that you need to be residing in and hold a work permit of a country in the European Union to be considered for this role.

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