We are seeking a dedicated Data Engineer to join our growing team. You will work as part of a broader team to support various data warehouse projects. You will make a significant contribution building an enterprise-wide cloud data platform using cutting edge technologies.

As a Data Engineer, you will work closely with subject matter experts and the business team to understand the requirements and design end-to-end data pipelines, ingesting data from various sources, and develop optimised transformation processes.

Why 28Stone

• International IT consulting company working in investment banking and capital markets area.
• Flexible work schedule and hybrid work model.
• Modern & ergonomic office space.
• Free snacks, fruits, tea, and coffee.
• Friendly and experienced team members who support your professional growth.
• Health insurance from Day 1 to support your health(incl. sport/dentist/vaccination plans + massage chair in the office.)
• Social events - bi-weekly lunches, team buildings, corporate events.
• Sports community (Squad hour gym membership deal, volleyball, participation at public sports events, monthly challenges.)
• Emotional balance platform to support your wellbeing from Day 1.
• Loyalty rewards program.
• One day of paid sick leave for emergency cases.
• Other benefits and perks - covered cell phone tariff plan, English classes, other courses, and seminars, and paid parking.

How this role will benefit your growth

• You will gain hands-on experience with cloud native MPP Data warehouse technologies like Snowflake, Redshift, etc.
• You will receive exposure to cutting edge ETL technologies like Azure Data Factory, Azure Databricks.
• You will participate in all phases of the development process including design, development, testing, deployment, and maintenance.
• You will expand your knowledge with paid training courses on latest data domain technologies as well as business domain skills as needed.
• You will gain knowledge about the project management methodology, standards, policies, and procedures, as well as technical standards and policies relevant to assigned tasks.

Your expertise

• Problem solving, analytical skills, and critical thinking
• 1-2 years of programming language (Python or similar) and/or ETL tools experience developing data pipeline solutions to ingest data from database or file based sources.
• Good written and spoken English communication skills.
• Familiarity with industry standard CICD process and working experience with git.

Considered as an advantage 

• Data warehouse concepts knowledge.
• SQL knowledge.
• Cloud platform experience like Azure, AWS, GCP.
• Columnar data warehouse solutions like Snowflake, RedShift, Vertica, Greenplum.
• Familiarity with Agile methodologies.
• Any capital markets industry knowledge or experience.

Please Apply using the button below.

Registration number: 40103612535