BI Data Engineer

Posting Type

Hybrid

Job Overview

Here at Relativity, we prioritize flexibility and work-life harmony. Our Hybrid work environment provides options tailored to your role and location, aiming to enhance engagement, connectivity, and productivity.

Join us to experience a culture of collaboration and innovation, where connecting in-person adds value to our collective growth. Let's work together!

As Data Engineer, you will play a critical role in influencing and driving change through the implementation of advanced analytics. You will be responsible for data pipeline development, optimization of data flow and collection. Other responsibilities include working with data and analytics experts, creating data tools for analytics, and collaborating with stakeholders to further enhance data systems.

Job Description and Requirements

Role Responsibilities:

• Writes ETL/ELT (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.

• Troubleshoots software and processes for data consistency and integrity. Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.

• Translates business specifications into design specifications and code. Responsible for writing complex pipelines, ad hoc queries, and transformation models. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.

• Partners with internal clients to gain an enhanced understanding of business functions and informational needs. Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.

• Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.

• Participates in special projects and performs other duties as assigned.

Minimum Qualifications:

• Minimum of 1-3 years in data analytics, programming, database administration, or data management experience. Experience with data wrangling required.

• Programming skills (SQL, Python, etc.) to access, transform and prepare large scale data for reporting needs

• Experience and understanding of architecting, designing and operationalization of large-scale data and analytics solutions on Snowflake Cloud DW, Azure SQL or related technologies.

• Experience with ETL/ELT tools like Azure Data Factory, FiveTran, etc.

• Experience with languages like Python, C#, etc.

Preferred Qualifications:

• Experience with code management tools such as Git, GitHub, Gitlab etc.

• Experience with transformation tools like dbt, Coalesce, etc.

• Experience with AI semantic models, search capabilities, and/or agent creation

• Experience working with BI tools like Tableau, PowerBI, etc

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:

139 000 and 209 000PLN

The 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. 

Required Skills:

Big Data, Big Data Technologies, Database Management, Data Engineering, Data Governance, Data Integration, Data Modeling, Data Pipelines, Data Warehousing (DW), Structured Query Language (SQL)