Senior Data Engineer
NEARMAP POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa
Do uzgodnienia
Wymagania
- Python
- SQL
- Snowflake Data Cloud
- AWS
- Parquet
- Arvo
- Kubernetes
Opis stanowiska
Nasze wymagania:
Snowflake – data warehouse management
SQL & Python – data pipeline development
Terraform – Infrastructure as Code
AWS Services (Glue, Firehose, S3, API Gateway, ECS, ASG, Kinesis, Snowpipe)
CI/CD pipelines
Data pipeline tools (dbt, Airbyte, Fivetran, Hightouch, Airflow, Dagster)
Mile widziane:
dbt – modern data transformation
Data lake file formats (Parquet, Avro, Iceberg) and partitioning strategies
Kubernetes & Docker – container orchestration
Other cloud providers
Platform observability and monitoring tools
O projekcie:
You'll join the Data Engineering team that builds and maintains the data platform supporting analytics, AI, and operational systems across Nearmap.
This is a backend data engineering position – you'll build data infrastructure and pipelines, not dashboards or reports. Your role is foundational: you'll deliver clean, reliable data to Analytics Engineers who then create analyses and insights.
Zakres obowiązków:
You will design, build, and maintain reliable, scalable data pipelines and infrastructure that underpin analytics, AI, and operational systems across Nearmap. You'll ensure timely, accurate, and secure delivery of data from multiple sources into the warehouse, enabling downstream teams to create trusted, actionable insights. The role partners closely with Analytics Engineers, Application Engineering, and other stakeholders to provide a robust, cost-efficient, and well-governed data platform that supports the company's strategic growth.
Oferujemy:
Access to LinkedIn Learning
Nearmap subscription
Wellbeing and technology allowance
Medical care
Sport Card (MultiSport)
MultiLife (mental and physical wellbeing)
Attractive employee referral program
Nearmap subscription (naturally)
Snowflake – data warehouse management
SQL & Python – data pipeline development
Terraform – Infrastructure as Code
AWS Services (Glue, Firehose, S3, API Gateway, ECS, ASG, Kinesis, Snowpipe)
CI/CD pipelines
Data pipeline tools (dbt, Airbyte, Fivetran, Hightouch, Airflow, Dagster)
Mile widziane:
dbt – modern data transformation
Data lake file formats (Parquet, Avro, Iceberg) and partitioning strategies
Kubernetes & Docker – container orchestration
Other cloud providers
Platform observability and monitoring tools
O projekcie:
You'll join the Data Engineering team that builds and maintains the data platform supporting analytics, AI, and operational systems across Nearmap.
This is a backend data engineering position – you'll build data infrastructure and pipelines, not dashboards or reports. Your role is foundational: you'll deliver clean, reliable data to Analytics Engineers who then create analyses and insights.
Zakres obowiązków:
You will design, build, and maintain reliable, scalable data pipelines and infrastructure that underpin analytics, AI, and operational systems across Nearmap. You'll ensure timely, accurate, and secure delivery of data from multiple sources into the warehouse, enabling downstream teams to create trusted, actionable insights. The role partners closely with Analytics Engineers, Application Engineering, and other stakeholders to provide a robust, cost-efficient, and well-governed data platform that supports the company's strategic growth.
Oferujemy:
Access to LinkedIn Learning
Nearmap subscription
Wellbeing and technology allowance
Medical care
Sport Card (MultiSport)
MultiLife (mental and physical wellbeing)
Attractive employee referral program
Nearmap subscription (naturally)
🔍 Dekoder Ogłoszenia
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This is a backend data engineering position – you'll build data infrastructure and pipelines, not dashboards or reports.
Oznacza to, że nie będziesz zajmować się tworzeniem wizualizacji danych ani raportów, a skupisz się wyłącznie na budowaniu i utrzymaniu infrastruktury danych.
🟡
Your role is foundational: you'll deliver clean, reliable data to Analytics Engineers who then create analyses and insights.
Twoja praca będzie polegać na przygotowaniu danych dla innych zespołów, które będą je analizować, co może oznaczać mniejszą widoczność Twoich bezpośrednich osiągnięć w kontekście biznesowym.
🟡
The role partners closely with Analytics Engineers, Application Engineering, and other stakeholders to provide a robust, cost-efficient, and well-governed data platform that supports the company's strategic grow
Wymaga to dobrej komunikacji i współpracy z różnymi zespołami, co może oznaczać potrzebę negocjowania priorytetów i rozwiązywania konfliktów interesów.