Jobs / Sma***
Senior Data Engineer (Remote, Contractual) [TH003] UK
Sma*** · United Kingdom · Remote
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United KingdomRemote
Remuneration
Not specified
Location
United Kingdom · Remote
British Summer Time (UTC+1)
Visa sponsorship
Sponsors visa
Job summary
About Smart Working At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn't just another remote opportunity—it's about finding where you truly belong, no matter where you are. From day one, you're welcomed into a genuine community that values your growth and well-being.
Benefits
Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) \u007C 1:00 PM - 10:30 PM IST (WinNo Weekend Work: Real work-life balance, not just wordsSupport That Matters: Mentorship, community, and forums where ideas are sharedTrue Belonging: A long-term career where your contributions are valuedWe may use artificial intelligence (AI)
Qualifications
- This isn't just another remote opportunity—it's about finding where you truly belong, no matter where you are.
- Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
- 7+ years in Data Engineering.
- Solid hands-on experience with AWS.
- You really know ELT design and data warehousing best practices.
- You're an expert in optimising Snowflake.
- You're a dbt pro (macros, testing, modularisation).
- Excellent SQL and Python
Responsibilities
- You will work closely with data science teams, product teams, operations, and other stakeholders in a fast-paced environment where collaboration, clear communication, and documentation are highly valued.
- The organisation embraces AI-first ways of working, and you will be expected to leverage
- Manage and optimise Snowflake data warehouses.
- Overhaul Snowflake warehouse performance through materialisation strategies, dynamic tables, and clustering optimisation.
- Build scalable ETL/ELT pipelines using dbt, Airflow, Fivetran, and AWS DMS.
- Build ingestion pipelines using DMS and Fivetran.
- Develop modelling layers in dbt using medallion architecture principles.
- Transform raw data into clean, reliable, and business-ready models using dbt and AI-assisted tooling for documentation and testing.
- Integrate data from multiple sources, including CRM systems, payment platforms, gaming platforms, and other operational systems.
- Own initiatives focused on data quality improvements and monitoring, including anomaly detection and automated alerting.
- Monitor and optimise platform performance, cost efficiency, and security.
- Work closely with cross-functional teams across product development, data, operations, and analytics functions.
Skills
Communication
Degrees
Associate
Work schedule
ShiftWeekend
Industry
AutomotiveEnergyGamingLogisticsMedia
Company size
Smb