Senior Data Engineer: Build Data Products & Pipelines

Nordic Investin Group Aktiebolag

Stockholms kommun

On-site

SEK 900,000 - 1,200,000

Full time

3 days ago
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Job summary

Nordic Investin Group Aktiebolag is seeking a Senior Data Engineer to join a partner company building modern analytics products for a data-driven organisation. You will build batch and streaming data pipelines, model trusted datasets for analytics and machine learning, and develop APIs exposing data products.

You will collaborate with engineers, analysts and product managers to ensure provenance, quality and governance from day one, design for repeatable delivery, and drive scalable,

Qualifications

  • Experience building batch and streaming data pipelines.
  • Strong Python and SQL in production data environments.
  • Experience with cloud data platforms (Databricks, Snowflake or BigQuery).
  • Knowledge of orchestration, transformation and data modelling.
  • Experience with CI/CD and infrastructure as code for data systems.
  • Understanding of data quality, governance and observability.
  • Professional English and product-oriented collaboration.

Responsibilities

  • Build batch and streaming data pipelines.
  • Model trusted datasets for analytics and machine learning.
  • Develop APIs and services that expose data products.
  • Improve orchestration, testing and data quality controls.
  • Optimise performance and cost across the platform.
  • Collaborate with analysts, product managers and application engineers.

Skills

Python
SQL
Databricks
Snowflake
BigQuery
CI/CD
Infrastructure as Code
Data quality
Observability
English

Tools

dbt
Kafka

Job description

Nordic Investin Group Aktiebolag is seeking a Senior Data Engineer to join a partner company building modern analytics products for a data-driven organisation. You will build batch and streaming data pipelines, model trusted datasets for analytics and machine learning, and develop APIs exposing data products.

You will collaborate with engineers, analysts and product managers to ensure provenance, quality and governance from day one, design for repeatable delivery, and drive scalable,

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