Senior Data Engineer

28Stone is a full service custom solutions firm. We offer a wide range of services - from ‘tip of the spear’ advisory, application design, system architecture to implementation, testing and deployment.

We partner with the world’s leading financial institutions to design and build robust financial applications that improve their business performance while reducing system risk, cost and time to market.

We develop technology of value: we are proud of our proven track record of delivering quality results and the trust our clients place in us with ongoing, repeat engagements.

We celebrate winning the Top 1% Workplace Awards 2023 in the “Best Workplace for Technologists” category and are always seeking to expand our team with positive, open-minded, and motivated individuals who are eager to learn as well as share what they know.

Your Impact Zone

• Design and develop Enterprise Data Warehouse solutions.
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Develop transformation processes using PySpark or SQL as per business data model requirements.
• ELT/ETL pipeline development experience using Azure Data Factory, Databricks workflow, etc.
• Experience in analyzing/researching solutions and developing/implementing recommendations accordingly.

Requirements

• At least 4 years of data engineering experience.
• Strong analytical and problem-solving skills.
• Data Warehouse principles and data modeling experience.
• Advanced SQL expertise.
• Scripting language (e.g., Python, PowerShell) experience.
• Working experience with any cloud platform Azure, AWS, GCP.
• Ability to work both in a team and individually.
• Good written and spoken English communication skills - to communicate with international clients and colleagues.

Considered an advantage

• Azure Cloud platform experience.
• Azure Databricks experience.
• MPP Data Warehouse solutions like Snowflake, RedShift, Databricks Unity Catalog.
• Capital markets industry knowledge or experience.
• Understanding and experience in implementing medallion architecture to ingest and transform data.
• Real-time data ingestion using Kafka.

Benefits

• Work equipment: laptop (Windows only), headset, keyboard, mouse, and backpack.
• Loyalty gifts.
• Annual reviews and growth opportunities.
• Corporate event travel budget.
• 20 unpaid time-off days per working year.

Compensation

Gross 25 - 35 EUR/hour

We are flexible and use an individual approach with each candidate we meet, so we invite you to apply even if you do not meet some of the listed requirements.

Only candidates who have the right to work in Poland are considered for this position.

The mentioned remuneration may vary depending on the candidate’s skills, qualifications, and experience.