Data Engineer (Cloud & Analytics)
About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.
About the project:
This is an exciting project with a global leader in the travel industry, a company that is actively investing in cutting-edge technologies to drive a data-led transformation. As part of this initiative, the company has built a state-of-the-art data platform and is now expanding its capabilities to unlock new business insights.
About the role:
We are seeking a Data Engineer to design, develop, and manage scalable data pipelines, storage, and transformation solutions. In this role, you will collaborate with the Data Platform and Business Analytics teams to develop a next-generation data environment. You’ll play a key role in integrating, transforming, and enabling data for advanced reporting, helping the company make smarter, data-driven decisions. If you’re passionate about working with best-in-class technologies and shaping the future of data in a dynamic, fast-paced industry, this is the perfect opportunity for you!
Requirements:
– 4+ years in data engineering, analytics engineering, or related fields.
– Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (Master’s preferred).
– Proven experience with Snowflake, DBT, Snaplogic, and modern data technologies.
– Strong background in data modeling, architecture, and cost-efficient pipeline management.
– Experience in deploying data segregation policies, especially logical segregation. Ideally being able to design these policies or support the teams with the design.
– Programming & Scripting: Advanced SQL, Python, Bash/Shell scripting.
– Cloud & Infrastructure: AWS/Azure/GCP, Terraform, CloudFormation, Security (IAM, VPN, Encryption).
– Data Processing: Kafka, Kinesis, Apache Airflow, Dagster, Prefect.
– DevOps & CI/CD: Git, GitHub Actions, Jenkins, Docker, Kubernetes.
– Data Governance & Quality: Data validation, metadata management, GDPR, CCPA compliance.
Would be a plus:
– Strong communication skills for both technical and non-technical audiences.
– Aptitude for bridging the gap between technical and business-focused groups.
– Comfortable engaging with individuals at all organisational levels.
– Problem-solving & analytical mindset, proactive and solution-oriented.
– Agile delivery experience (Scrum, Kanban), with the ability to scope, estimate, and deliver tasks independently.
– Innate drive to learn and adopt new skills and technologies
– Proficiency in managing projects efficiently and addressing challenges collaboratively and proactively.
Responsibilities:
– Architect and deploy scalable, secure, and high-performing Snowflake environments in line with data segregation policies.
– Automate infrastructure provisioning, testing, and deployment for seamless operations.
– Develop, optimize, and maintain data pipelines (ETL/ELT) to ensure efficient data ingestion, transformation, and migration.
– Implement best practices for data consistency, quality, and performance across cloud and on-premises systems.
– Design and implement data models that enable efficient reporting and analytics.
– Develop data transformation processes using Snowflake, DBT, and Python to enhance usability and accessibility.
– Configure and manage secure network connectivity for data ingestion.
– Ensure compliance with GDPR, CISO policies, industry security standards, the Data Segregation Policy is firmly followed for the data sets enabled.
– Implement data validation, anomaly detection, and quality assurance frameworks.
– Collaborate with the Data Governance team to maintain compliance and integrate quality checks into data pipelines.
– Build and optimize real-time streaming and batch processing solutions using Kafka, Kinesis, or Apache Airflow.
– Work closely with business stakeholders, analysts, and data teams to deliver tailored solutions.
– Translate complex technical insights for both technical and non-technical audiences.
We offer:
– Free English classes with a native speaker and external courses compensation;
– PE support by professional accountants;
– Medical insurance;
– Team-building events, conferences, meetups, and other activities;
– There are many other benefits you’ll find out at the interview.
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