Staff I Data Engineer

Blackline SP ZOO (Poland); Kraków; On-site; PLN 336,000 - 420,000; Full time

Benefits offered by this job

Office access three days per week (in‑

Remote work considered case‑by‑case

Equal opportunity employer

Job summary

BlackLine SP ZOO (Poland) is seeking a founding Staff Data Engineer in Kraków to own the analytics and data platform for an AI‑powered SaaS product. You will architect data flow into Snowflake, model for reliability, and surface insights via Power BI.

You will mentor engineers and drive enterprise data craft across the hub. You will leverage Cursor and Claude to accelerate delivery, set quality standards, and collaborate with software, product, and finance teams to deliver trusted data products

Qualifications

• Demonstrated ability to design end‑to‑end data architecture for a SaaS product.

Responsibilities

• Architect and own the data platform from ingestion to serving on Snowflake.
• Build and govern ELT/ETL pipelines from operational sources to analytics‑ready datasets.
• Deliver enterprise‑grade Power BI reports and semantic models.
• Champion modern data modelling with modular, tested data models.
• Promote AI‑accelerated development using Cursor and Claude tools.
• Set data quality/observability standards with monitoring and automated testing.
• Mentor data engineers and elevate the team’s craft and practices.
• Collaborate with engineers, product, and finance to translate data needs into reliable data products.

Skills

Technical leadership

Communication

Data platform architecture

Mentoring

AI‑driven tooling

Tools

Snowflake

Power BI

dbt

Apache Airflow

Azure Data Factory

Python

SQL

Job description

Overview

Make Your Mark: As the founding Staff Data Engineer for our new Engineering Hub in Krakow, you are stepping into a role with rare scope and influence. You will be the data backbone of a mission‑critical, AI‑powered SaaS product, owning the architecture and delivery of the analytics and data platform that our customers and internal teams depend on to make decisions worth millions of dollars. You will define how data flows from our transactional systems into Snowflake, how it is modeled for reliability and performance, and how it surfaces as trusted, actionable insights through Power BI. You will set the standard for data engineering craft in this hub, mentor engineers, and operate at the intersection of data infrastructure, product analytics, and enterprise reporting. As a forward‑thinking leader in our mission to deliver autonomous finance, you will leverage modern AI development tools like Claude and Cursor to accelerate delivery and raise the quality bar across the data platform.

Key Responsibilities

• Architect and Own the Data Platform: Design and evolve the end‑to‑end data architecture, from ingestion and transformation to serving, on Snowflake, ensuring it is scalable, cost‑efficient, and built for the reliability standards of an enterprise SaaS product.
• Build and Govern Data Pipelines: Design, implement, and maintain robust ELT/ETL pipelines that reliably move and transform data from operational systems (microservices, event streams, third‑party sources) into well‑modeled, analytics‑ready datasets in Snowflake.
• Deliver Trusted Analytics with Power BI: Lead the design and development of enterprise‑grade Power BI reports and dashboards for both internal stakeholders and customer‑facing analytics, establishing semantic models, row‑level security, and a governed BI layer.
• Champion Modern Data Modelling: Drive the adoption of best‑in‑class transformation practices, establishing modular, well‑tested, and documented data models that the whole team can trust and build on.
• Champion AI‑Accelerated Development: Utilize and promote agentic development tools (e.g., Cursor, Claude) to accelerate data pipeline development, query optimization, and documentation and help the broader team adopt this mindset.
• Set Data Quality and Observability Standards: Implement data quality frameworks, automated testing, and monitoring across the data platform. Build the tooling and culture that catches data issues before they reach customers or business decisions.
• Mentor and Elevate: Act as a technical leader and mentor for data engineers in the hub. Elevate the team's craft through code reviews, documentation standards, and knowledge sharing on data modelling, Snowflake optimization, and BI best practices.
• Collaborate Across the Organization: Partner closely with Software Engineers, Product Managers, and Finance stakeholders to understand data needs, translate them into reliable data products, and communicate data platform capabilities and constraints clearly.

Qualifications

• Demonstrated expertise in using AI‑driven development tools (e.g., Cursor, Claude) to significantly improve data engineering velocity and quality.
• Deep expertise with Snowflake, including data modelling, performance tuning, cost optimisation, clustering, dynamic tables, and Snowflake‑native security and governance features.
• Advanced Power BI proficiency: end‑to‑end ownership of semantic models (DAX, Power Query), enterprise report design, row‑level security, incremental refresh, deployment pipelines, and Power BI service administration.
• Strong experience building and operating production ELT/ETL pipelines using tools such as dbt, Apache Airflow, Azure Data Factory, or equivalent orchestration frameworks.
• Proficiency in SQL at an expert level and working knowledge of at least one general‑purpose language (Python preferred) for data processing and automation.
• Proven track record of technical leadership, with the ability to drive complex, cross‑functional data initiatives from ambiguous requirements to successful, well‑adopted data products.
• A strong data quality and observability mindset – you build monitoring, alerting, and testing into data pipelines from the start, not as an afterthought.
• Excellent written and verbal communication skills; comfortable translating between technical data concepts and business requirements across time zones.

Preferred Additional Skills

• Experience in a regulated industry such as finance, accounting, or fintech, with sensitivity to data governance, auditability, and compliance requirements.
• Familiarity with cloud‑native data architectures on Azure or AWS particularly Azure Synapse, Azure Data Lake, AWS Glue, or S3‑based data lake patterns.
• Experience with streaming or event‑driven data ingestion using Kafka, Azure Event Hubs, or similar, feeding near‑real‑time analytical workloads.
• Knowledge of Responsible AI principles and experience building data infrastructure that supports trustworthy, auditable AI/ML pipelines.
• A history of contributing to open‑source data tooling or a passion for exploring emerging patterns in the modern data stack.
• Experience standing up a data practice from scratch in a greenfield or hub‑expansion context, including data cataloguing, lineage, and self‑serve BI enablement.

Benefits

Salary Range: PLN 336,000.00 – 420,000.00 per year.

Work Arrangement: Candidates who live within a reasonable commute to one of our offices will work in the office at least three days a week. Remote work may be evaluated on a case‑by‑case basis.

BlackLine is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.