Data Engineer (UK client)
Description
We are seeking an experienced Data Engineer to help scale a growing BI platform in the real estate industry. In this role, you will design and build robust, high-performance data pipelines grounded in strong data modeling principles. You’ll join a highly skilled development team working with a modern, progressive technology stack, while also exploring emerging technologies, including AI and ML, to continuously enhance the platforms and services we deliver to our customers.
office remoteBangladeshIndiaMexico
Requirements
- 3+ years of hands-on experience as a Data Engineer
- Strong proficiency in SQL
- Proven experience designing, building, and maintaining ETL/ELT pipelines
- Solid knowledge of data modeling
- Experience with at least one orchestration tool (Azure Data Factory preferred; SSIS, Apache Airflow, AWS Glue, Talend, or similar)
- Experience with at least one relational database (Microsoft SQL Server, MySQL, PostgreSQL, Oracle, or DB2)
- Ability to optimize and tune OLAP and OLTP queries
- Experience working with cloud platforms (Microsoft Azure preferred)
- Familiarity with Git
- Experience with Python & PySpark
- Hands-on experience working in an Agile/Scrum development environment
- Upper-Intermediate English or higher (written and spoken)
Nice to have
- Exposure to modern cloud data platforms and reporting tools (e.g. Microsoft Fabric, Databricks, Snowflake, Power BI, Tableau)
- Experience designing scalable, high-performance data architectures
- Knowledge of data governance, data quality, and security best practices
- Experience with NoSQL databases (Azure Cosmos DB, Mongo, Cassandra, etc.)
- Experience with AI/ML data pipelines or analytics use cases
- Experience with unit and integration testing
- Experience working in the real estate or similar data-intensive domains
Responsibilities
- Design and build ETL/ELT pipelines
- Optimize data workflows for performance, reliability, and maintainability
- Collaborate with BI analysts and stakeholders
- Write and optimize complex SQL & PySpark queries
- Implement data quality checks and monitoring to ensure data integrity
- Follow and promote data best practices and standards
We offer
- Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
- Corporate medical insurance covering services of private and public medical centers
- English courses online
- Corporate parties and events for employees and their children
- Internal conferences, workshops and meetups for learning and experience sharing
- Gym membership compensation
- 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
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Data Engineer (UK client)
Apply by filling in the form beside or sending your CV to hh@itransition.com