Senior Data Engineer

BlackLine; Kraków; On-site; PLN 180,000 - 260,000; Full time

Job summary

BlackLine in Krakow is seeking a Senior Data Engineer to join the AI-powered Invoice-to-Cash data platform. You will design and deliver ELT/ETL pipelines, models, and reports that empower customers and internal teams to make data-driven decisions.

You will work on Snowflake data modeling, Power BI reporting, and end-to-end data architecture, collaborating with software engineers, product managers, and finance stakeholders across time zones.

Qualifications

• Strong hands-on experience with Snowflake data modelling, performance tuning, cost optimisation, and governance features.
• Solid Power BI proficiency: semantic models, enterprise reports, row-level security, incremental refresh.

Responsibilities

• Design, implement, and maintain robust ELT/ETL pipelines moving data from microservices, event streams, and third-party sources into analytics-ready datasets on Snowflake.
• Develop enterprise-grade Power BI reports and dashboards, building semantic models and governance for internal and customer-facing analytics.
• Contribute to end-to-end data architecture on Snowflake from ingestion to serving, ensuring scalability and cost efficiency.
• Promote AI-driven development tools to accelerate pipeline development and improve data quality and velocity.

Skills

SQL

Python

Data modeling

AI tooling

Data quality

Communication

Independent work

Tools

Snowflake

Power BI

dbt

Apache Airflow

Azure Data Factory

Azure Synapse

Azure Data Lake

Kafka

Job description

Make Your Mark: You'll Get To:

It's fun to work in a company where people truly believe in what they're doing! At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance. Being a best‑in‑class SaaS company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting‑edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.

This role is specifically for our AI‑powered Invoice-to-Cash (I2C) solution, a market‑leading platform that uses intelligent automation to help companies collect cash faster, unlock working capital, and supercharge efficiency in their accounts receivable processes.

Work, Play and Grow at BlackLine! Make Your Mark As a Senior Data Engineer in our growing Business Intelligence & Analytics Engineering team in Krakow, you will be a core hands‑on builder of the data platform behind a mission‑critical, AI‑powered SaaS product. You will design and deliver the pipelines, models, and reports that our customers and internal teams rely on to make decisions worth millions of dollars - and you will do it to a high engineering bar, with modern tooling, alongside a talented team you help to grow.

You’ll Get To 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‑modelled, analytics‑ready datasets in Snowflake.

Deliver Trusted Analytics with Power BI:

• Develop enterprise‑grade Power BI reports and dashboards for both internal stakeholders and customer‑facing analytics, building semantic models, row‑level security, and a governed BI layer that people trust.

Contribute to the Data Platform Architecture:

• Help shape and evolve our end‑to‑end data architecture on Snowflake - from ingestion and transformation to serving - and deliver your areas of it so the platform stays scalable, cost‑efficient, and reliable.

Champion Modern Data Modelling:

• Apply best‑in‑class transformation practices, producing modular, well‑tested, and documented data models that the whole team can build on.

Champion AI‑Accelerated Development:

• Use and promote agentic development tools (e.g., Cursor, Claude) to accelerate pipeline development, query optimization, and documentation - and help teammates adopt the same mindset.

Build in Data Quality and Observability:

• Bake data quality frameworks, automated testing, and monitoring into the pipelines you build, catching data issues before they reach customers or business decisions.

Grow and Share Your Craft:

• Raise the bar through code reviews, documentation, and knowledge sharing on data modelling, Snowflake optimization, and BI best practices, and grow toward broader technical leadership over time.

Collaborate Across the Organization:

• Partner with Software Engineers, Product Managers, and Finance stakeholders to understand data needs, translate them into reliable data products, and communicate platform capabilities and constraints clearly.

Technical / Specialized Knowledge, Skills, and Abilities

• Strong hands‑on experience with Snowflake, including data modelling, performance tuning, cost optimisation, clustering or dynamic tables, and Snowflake‑native security and governance features.
• Solid Power BI proficiency: building semantic models (DAX, Power Query), enterprise report design, row‑level security, incremental refresh, and working with the Power BI service.
• Proven experience building and operating production ELT/ETL pipelines using tools such as dbt, Apache Airflow, Azure Data Factory, or equivalent orchestration frameworks.
• Expert‑level SQL and working knowledge of at least one general‑purpose language (Python preferred) for data processing and automation.
• Demonstrated ability to use AI‑driven development tools (e.g., Cursor, Claude) to improve data engineering velocity and quality.
• A strong data quality and observability mindset - you build monitoring, alerting, and testing into data pipelines from the start, not as an afterthought.
• The ability to work independently on well‑scoped initiatives, taking ownership from ambiguous requirements through to reliable, well‑adopted data products.
• Excellent written and verbal communication skills; comfortable translating between technical data concepts and business requirements, and collaborating effectively across time zones.
• We're Even More Excited If You Have Experience in a regulated industry such as finance, accounting, or fintech, with sensitivity to data governance, auditability, and compliance requirements.
• Familiarity with Microsoft Fabric, including database mirroring from Azure‑hosted sources into an analytical data platform.
• 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.

What You'll Bring:

• Thrive at BlackLine Because You Are Joining:
• A technology‑based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem‑solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!
• A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
• A culture where BlackLiner's continued growth and learning is empowered.
• BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

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.

BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in‑person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.

Accommodations: BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.

Wondering what it’s like to work at BlackLine? Don’t take our word for it. We’ve been voted Best Place to Work by Inc. Magazine four years in a row. Built in LA ranks us in their top 100 Best Places to Work in LA. Reviewers on Glassdoor say we have “smart and kind people,” “phenomenal culture,” and “good work/life balance.” Sound good? Check out our open positions and see if there’s a fit for you.

At BlackLine, we follow a comprehensive recruitment process which is undertaken by our talent acquisition team. We conduct personal interviews of all potential job seekers and do not follow practice of making employment offers based solely on a candidate’s resume. We do not solicit any payment under the name of security deposit and/or visa/work‑permit processing fee, etc., either refundable or non‑refundable, at any stage of the recruitment process.

BlackLine shall not be held liable for any loss or damage, direct or indirect, incurred as a result of this act.