Senior Data Platform Engineer: AWS, Pipelines & Analytics

Zendr

Stockholms kommun

On-site

SEK 900,000 - 1,200,000

Full time

2 days ago
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Benefits offered by this job

Data platform ownership
Architectural influence
Modern AWS serverless
Visible impact

Job summary

Zendr is rebuilding its platform and seeking a data-focused engineer to own everything data end to end. You will be the first dedicated data hire, responsible for the AWS infrastructure, data ingestion from operational databases, transformations, and the analytics layer used by the business.

You’ll sit in the platform team, collaborate directly with the CTO and platform lead, and shape data architecture as the company scales.

Qualifications

  • 7+ years building production systems, with solid recent experience in data engineering.
  • AWS data services such as S3, Athena, Glue, Lambda, and Step Functions.
  • Infrastructure as code: Pulumi preferred, Terraform or CDK also OK.
  • Python and data modeling for layered analytical architectures.
  • Both batch and streaming pipelines.
  • Serverless and event-driven patterns.
  • Datadog or similar observability tooling.

Responsibilities

  • Design and build out the data platform on AWS, including the infrastructure itself.
  • Build pipelines that move data out of operational MongoDB and legacy MySQL into a governed analytical store.
  • Give the business trustworthy, consistent metrics, starting with the executive team and growing into self-service.
  • Make data available to AI workflows with sensible governance.
  • Own data quality, monitoring, and cost.

Skills

Data engineering
AWS
IaC
Python
Streaming data

Tools

Pulumi
Terraform
CDK

Job description

Zendr is rebuilding its platform and seeking a data-focused engineer to own everything data end to end. You will be the first dedicated data hire, responsible for the AWS infrastructure, data ingestion from operational databases, transformations, and the analytics layer used by the business.

You’ll sit in the platform team, collaborate directly with the CTO and platform lead, and shape data architecture as the company scales.

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