Posting Type
Hybrid
Job Overview
Relativity’s scale and breadth provide significant opportunities for rich data exploration and insights. Our data infrastructure ensures that vast datasets remain accessible, secure, and compliant, while enabling innovation across the organization. We are making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics.As a Senior Data Engineer, you will lead the design and optimization of critical ETL/ELT pipelines and analytics-ready data models. You will set engineering standards, mentor peers, and partner with analytics and platform teams to deliver scalable, reliable, and compliant data solutions. This role demands strong technical depth, architectural thinking, and the ability to influence best practices across the organization.
Job Description and Requirements
Your Role in Action
Own complex data workflows end-to-end, from ingestion to curated layers, ensuring reliability and performance at scale.
Architect and optimize ETL/ELT pipelines for diverse data sources, leveraging orchestration tools (Airflow/Prefect) and transformation frameworks (dbt).
Design robust data models (dimensional schemas, SCD strategies, semantic layers) that enable high-quality analytics and reporting.
Drive technical standards for data quality, lineage, observability, and governance across engineering teams.
Mentor and guide junior engineers, fostering a culture of clean code, testing, and continuous improvement.
Collaborate cross-functionally with analytics, product, and platform teams to align data solutions with business priorities.
Lead performance tuning and cost optimization for Snowflake, Databricks, and other cloud data platforms.
Champion CI/CD and infrastructure-as-code practices for data workflows, ensuring repeatability and compliance.
Influence roadmap decisions for data engineering capabilities and advocate for scalable, future-ready solutions.
Core Requirements
Expert-level SQL and strong Python for data engineering tasks.
Proven experience designing and operating production-grade ETL/ELT pipelines with orchestration tools (Airflow/Prefect).
Deep knowledge of dbt for transformation workflows and analytics modeling.
Hands-on experience with Snowflake and/or Databricks for large-scale data processing.
Strong understanding of data modeling principles, incremental strategies, and schema design for analytics.
Expertise in data quality frameworks, lineage tracking, and governance in multi-tenant environments.
Familiarity with data quality and observability frameworks (e.g., validation checks, automated tests) and proactive incident management.
Solid grasp of CI/CD, version control, and automated testing for data pipelines.
Ability to lead technical discussions, make architectural decisions, and influence best practices.
Nice to Have
Experience with Spark for distributed transformations.
Exposure to streaming ingestion (Kafka/EventHub) and real-time data processing.
Knowledge of cost/performance tuning in Snowflake/Databricks.
Familiarity with data catalog/lineage tools and privacy/PII handling.
Working knowledge of Terraform/Pulumi for infrastructure-as-code in data engineering.
Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.
Benefit Highlights:
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Additional time off
Long-term incentive program
Training investment program
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
208 000 and 312 000PLNThe final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Suggested Skills:
Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical LeadershipSimilar Jobs
What We Do
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it.
Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200.
Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.
Why Work With Us
We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.
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