Data Engineer

At UpCloud, you’ll be literally building the cloud.

We’re on a mission to be the number #1 European cloud platform, built on performance, reliability, and trust. While data sovereignty has become a hot topic in the EU, we can proudly say that we’ve been mastering it since 2011.

Sometimes, cloud technologies can be offered as a patchwork of ready-made solutions. At UpCloud, however, you'll be working with something that we've built from the ground up!

At the speeding pace our business is growing, we need new hands on deck! We are looking for a Data Engineer to join our small but skilled BI team.

You will be a key influencer in deciding the future of our data infrastructure and how it supports our strategic business areas.

What you'll be doing

We have a small but rapidly growing hybrid data platform, implemented with cloud managed lakehouse, on-prem hosted orchestration layer for ELT/ETL (with Airflow and dbt) and integrations working both ways with other legacy systems and 3PP (like Hubspot and Intercom).

We want to take it further and provide our internal analysts with a reliable, organised and dynamic platform, supporting Business intelligence reports and analysis, self service data discovery and empowering non-technical to confidently use data for their ad-hoc reports and decision making.

As a Data Engineer you will:

• Architect Hybrid Pipelines:Build and maintain high-performance Batchand Streamingpipelines. You’ll determine when to use real-time streaming (e.g., for immediate funnel triggers) vs. cost-effective batching (e.g., for complex Star Schema aggregations).

• Own the Transformation Layer: Lead the implementation of dbt to turn GCS-stored data into clean, documented Gold-layer tables in BigQuery.

• Own the Platform Orchestration:Manage and scale Airflow within a Dockerized on-prem environment, ensuring seamless connectivity and security between local servers and GCP.

• Enable Self-Service & AI: Design data models optimized for Business Analysts and future-proofed for LLM/MCP integration by maintaining rigorous metadata and schema standards.

Skills you'll need to succeed:

• GCP Ecosystem: Expert knowledge of BigQuery (SQL, Partitioning, scheduled queries, materialised views) and GCS.

• Hybrid Data Processing: Experience building "Lambda" or "Kappa" style architectures where batch and streaming complement each other.

• The Stack: Advanced Python, SQL, and dbt.

• DevOps/Infrastructure: Deep comfort with Docker, managing Airflow (including custom providers/operators for cloud integration), and good experience using Terraform (IaC) to provision and manage hybrid cloud resources.

Real bonus:

• ML Foundations: experience building stable infrastructure that allows data or BI analysts to build and train ML models;

Context of your Experience:

• You had previous experience as a (Senior) Software engineer or (Senior) platform engineer or (Senior) data engineer experience, building hybrid self-managed cloud native (GCP, AWS) data platforms, or, on premises containerised platforms, with Open Source tools;

• You could have worked either in-house or as a consultant, as long as you understand the broad picture of different data platform architectures and their best fitting to cases. Instead of deep experience in a single part, process, or component, we are looking for a bird’s-eye view.

Why join UpCloud?

UpCloud is in an exciting phase right now, on track for massive growth in the cloud market. We offer a chance to be part of something big, where you can really make a difference! With our awesome team, products, and excellent positioning in the European cloud scene, UpCloud is in the perfect spot for anyone who wants to learn, grow, and shape the future of cloud tech.

You get to join a driven, highly motivated team committed to making a difference. We have a unique market opportunity in Europe with our strong local infrastructure because our biggest competitors are all US-based, which is what makes this such a captivating opportunity to learn and grow.

The pay range for this role is around 5500-6500 euros per month, depending on your seniority and location. The range is not set in stone, as we assess each case individually.

We review all applications and get back to all our candidates. That is a promise.

Benefits

• Up to six weeks of annual paid vacation

• Flexible and remote-friendly culture

• Occupational healthcare

• Travel insurance

• Sports benefit

• Company events and activities

• Share Appreciation Rights program

• Udemy E-learning platform and budget for trainings; unlimited business access

• Yearly company trip

Originally posted on Himalayas