Senior Data Engineer 

We are looking for a seasoned Data Engineer to own the Client’s batch data pipelines and dbt models – the critical infrastructure that delivers daily demand forecasts to customers and provides data scientists with the stable, well-defined data they need to continuously improve AI models.  

Project – an end-to-end, real-world demand-forecasting platform where engineers can directly improve how deep-learning predictions are produced and served daily using messy multi-source retail data at a meaningful scale. 

This is a batch-focused, hands-on engineering role within a small, highly autonomous remote team.  There is no legacy bureaucracy: fresh ideas on data warehouse architecture are actively welcomed. 

Experience / Skills required: 

Must have: 

• Hands-on 6+ years of Data Engineering experience in production environments
• Deep expertise with SQL complex transformations, performance tuning, and query optimization
• Expertise with dbt: models, tests, macros, project structure, and governance 
• Strong experience with columnar data warehouses, in particular Amazon Redshift 
• Deep experience with columnar data processing in Python: Apache Arrow, Parquet, Polars, Pandas, DuckDB 
• Strong in data pipeline orchestration: Airflow, Dagster, Step Functions, or equivalent 
• Hands-on cloud infrastructure and infrastructure-as-code on AWS (Batch, Lambda, Step Functions) 
• Experience with CI/CD pipelines, automated testing, version-controlled deployments 
• Upper-Intermediate English and better 

Good to have: 

• Hands-on experience with Dagster specifically
• Arrow Flight SQL 
• Data lakehouse architecture 
• Feature store design and implementation 
• Airbyte or Fivetran experience 
• Experience training and deploying ML models in production 
• Terraform 

Responsibilities: 

• Own, maintain, and simplify the dbt project and SQL pipelines end-to-end 
• Support and ensure the reliability of daily batch production prediction pipelines 
• Design and implement robust batch jobs on AWS (AWS Batch, Lambda, Step Functions) 
• Improve data modeling foundations and data quality across the warehouse 
• Build and maintain reliable core entities and upstream feature engineering for data science 
• Set up and enforce data quality guardrails and CI/CD automation across the warehouse and orchestration stack 
• Design and manage DevOps practices for the data engineering stack 
• Manage cloud infrastructure and infrastructure-as-code 
• Administer and optimise the pipeline orchestrator (Dagster preferred) 
• Partner closely with data scientists to provide stable, well-documented features and data contracts 
• Communicate proactively and clearly in a fully remote, English-speaking environment 
• Work independently and take full ownership within a lean, fast-moving team 

We offer:  

• Competitive salary with the regular review 
• Vacation (up to 20 working days)   
• Paid sick leaves (10 working days)   
• National Holidays as paid time off (11 days)   
• Online English courses   
• Accountant assistance and legal support   
• Flexible working schedule, remote  
• Direct cooperation with the customer   
• Dynamic environment with low level of bureaucracy and great team spirit   
• Challenging projects in diverse business domains and a variety of tech stacks   
• Communication with Top/Senior level specialists to strengthen your hard skills   
• Online/offline teambuildings