Senior Data Engineer

Blackline SP ZOO (Poland); Kraków; On-site; PLN 180,000 - 280,000; Full time

Job summary

BlackLine SP ZOO (Poland) seeks a Senior Database/Data Engineer to design, build, and optimize large-scale data pipelines and robust data storage solutions. You will collaborate with data scientists, analysts, and engineers to meet data requirements while ensuring governance, security, and quality across our platforms.

You will work on developing scalable data pipelines, data warehouses, and infrastructure to support analytics and product development, while mentoring peers and contributing to

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 5+ years of experience in data engineering, with a strong focus on building and maintaining data pipelines.
• Proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with SQL and NoSQL databases (e.g., PostgreSQL, Snowflake, MongoDB, Cassandra).
• Demonstrated experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., S3, EC2, Redshift, Glue, Data Factory).
• Experience with big data technologies such as Spark, Hadoop, or Kafka.
• Familiarity with data warehousing concepts, ETL/ELT methodologies, and data modeling.
• Strong understanding of data governance, data quality, and data security principles.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Responsibilities

• Design, build, and optimize large-scale data pipelines and ETL processes using various technologies and frameworks.
• Develop and maintain data warehouses, data lakes, and other data storage solutions.
• Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver appropriate data solutions.
• Implement data governance, security, and quality best practices to ensure data integrity and compliance.
• Troubleshoot, debug, and resolve data-related issues and performance bottlenecks.
• Evaluate and recommend new data technologies and tools to improve efficiency and scalability.
• Mentor junior data engineers and contribute to the growth of the data engineering team.
• Participate in code reviews, design discussions, and contribute to architectural decisions.

Skills

Data engineering

Python/Java/Scala

SQL & NoSQL

Cloud platforms

Team collaboration

Education

Bachelor's or Master's degree in Computer Science/Engineering/Statistics

Tools

Snowflake

PostgreSQL

MongoDB

Spark

Kafka

AWS/GCP/Azure

Job description

Make Your Mark: As a Senior Database Engineer at BlackLine, you will play a vital role in the performance, delivery, stability, and security of the databases we use, while continually driving forward improvements and optimisations at the database layer. You will be involved in the planning, development, and maintenance of the database, including troubleshooting issues, collaborating with other teams to define and build new features, optimize existing features, and collaborate in order to drive growth, improve controls and processes, and reduce overhead and complexity. In this role, we are looking for people who are team players, passionate about their areas of expertise, and constantly striving to learn and improve, not just in the sense of their own skills, but also in growing with peers whom they work with day-to-day. If you are someone who strives for excellence in all that they do, including helping those in your team, and someone who wants to ultimately deliver the best value and success you can, then we want to talk to you.

You’ll Get To: As a Senior Data Engineer at Blackline Systems, Inc., you will be instrumental in designing, developing, and maintaining robust and scalable data pipelines and infrastructure to support our financial automation solutions. You will work with large datasets, ensuring data quality, reliability, and accessibility for analytics and product development.

Responsibilities

• Design, build, and optimize large-scale data pipelines and ETL processes using various technologies and frameworks.
• Develop and maintain data warehouses, data lakes, and other data storage solutions.
• Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver appropriate data solutions.
• Implement data governance, security, and quality best practices to ensure data integrity and compliance.
• Troubleshoot, debug, and resolve data-related issues and performance bottlenecks.
• Evaluate and recommend new data technologies and tools to improve efficiency and scalability.
• Mentor junior data engineers and contribute to the growth of the data engineering team.
• Participate in code reviews, design discussions, and contribute to architectural decisions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 5+ years of experience in data engineering, with a strong focus on building and maintaining data pipelines.
• Proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with SQL and NoSQL databases (e.g., PostgreSQL, Snowflake, MongoDB, Cassandra).
• Demonstrated experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., S3, EC2, Redshift, Glue, Data Factory).
• Experience with big data technologies such as Spark, Hadoop, or Kafka.
• Familiarity with data warehousing concepts, ETL/ELT methodologies, and data modeling.
• Strong understanding of data governance, data quality, and data security principles.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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.

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?