Data Engineer: Hybrid Data Pipelines & AI-Ready Infra

Futurice Oy; Helsinki; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work

Equipment freedom

Healthcare

Learning events

Certification programs

Job summary

Futurice Oy is seeking a Data Engineer to dive into clients' data and build scalable data platforms. You’ll design, deploy, and operate data pipelines, while automating infrastructure and recovery routines in a consulting context.

You will collaborate with data scientists, software developers, designers and clients, using Python or Java and AWS or Azure data stacks, in a hybrid Helsinki-area role with strong focus on collaboration and continuous learning.

Qualifications

• A few years of work experience in data engineering.
• Experience with AWS data stack (Redshift, Glue, Athena) or Azure (Data Factory, Synapse, Databricks).
• Hands-on experience building and operating data infrastructure; dev-ops mindset.
• Fluency in Finnish and English.

Responsibilities

• Design, build, automate and operate data platforms and pipelines.
• Contribute to data architecture and data governance across projects.
• Collaborate with data scientists, developers and clients in a consulting setup.
• Support and improve monitoring, reliability and recovery routines.

Skills

Data engineering

AWS

Azure

Python

Java

DevOps mindset

Terraform

Sagemaker

CI tools

Databricks

Tools

Terraform

Sagemaker

CI tools

Job description

Futurice Oy is seeking a Data Engineer to dive into clients' data and build scalable data platforms. You’ll design, deploy, and operate data pipelines, while automating infrastructure and recovery routines in a consulting context.

You will collaborate with data scientists, software developers, designers and clients, using Python or Java and AWS or Azure data stacks, in a hybrid Helsinki-area role with strong focus on collaboration and continuous learning.