Senior OLAP Platform Engineers - Europe's largest self-managed analytical data platforms - real[...]

Sprint and Partners; Amsterdam; On-site; EUR 162,000 - 198,000; Full time

Benefits offered by this job

Healthcare

Pension

Permanent contract from start

Relocation sponsorship for senior+

Job summary

Sprint and Partners is seeking an engineer to own the performance, scalability, reliability and evolution of large-scale analytical infrastructure in Europe. You’ll work on OLAP platforms built with ClickHouse, Apache Druid and Apache Pinot, focusing on production readiness and long-term evolution rather than traditional data pipelines.

Ideal candidates have deep experience in distributed analytical databases, data partitioning and indexing, and cluster tuning.

Qualifications

• Requires deep experience operating analytical database technologies in production.
• Experience with large-scale OLAP platforms and real-time analytics recommended.
• Familiarity with ClickHouse, Druid and Pinot preferred.

Responsibilities

• Design, build and operate large-scale OLAP platforms using ClickHouse, Druid and Pinot.
• Improve query performance for petabyte-scale workloads.
• Develop efficient storage layouts, partitioning and indexing strategies.

Skills

ClickHouse

Apache Druid

Apache Pinot

Distributed databases

Analytical workloads

Data partitioning

Indexing

Cluster performance

Distributed systems

Python

Java/Go/Rust

Job description

We're building one of Europe's largest self-managed analytical data platforms. Our environment processes massive volumes of real-time and historical data, powering analytics, operational reporting, machine learning, and internal products used across the business.

We're looking for an engineer whose expertise lies in OLAP databases and analytical query engines. If you've spent years working on systems like ClickHouse, Apache Druid or Apache Pinot, you will love this role.

This is not a traditional data engineering position focused on building pipelines. Instead, you'll own the performance, scalability, reliability and evolution of large-scale analytical infrastructure.

What You'll Work On

• Design, build and operate large-scale OLAP platforms based on technologies such as:
• ClickHouse
• Apache Druid
• Improve query performance for petabyte-scale analytical workloads.
• Design efficient storage layouts, indexing strategies and partitioning models.
• Optimize ingestion pipelines for both real-time and batch workloads.
• Improve cluster reliability, fault tolerance and operational excellence.
• Build tooling around observability, metadata, automation and platform usability.
• Work on distributed systems involving compute, storage and networking.
• Partner with data engineers, backend engineers and analytics teams to improve time-to-insight.
• Evaluate new technologies and architectural improvements for next-generation analytical infrastructure.

Your Background

We're primarily looking for engineers with deep experience operating one or more analytical database technologies in production.

Strong experience with:

• ClickHouse, Apache Druid and/or Apache Pinot
• Distributed databases
• Large-scale analytical workloads
• Data partitioning and indexing
• Cluster performance tuning
• Distributed systems architecture

Programming:

• Python (preferred)
• Java, Go or Rust are strong pluses

Scale

You'll work on infrastructure operating at significant scale, including:

• Hundreds of nodes
• Tens of thousands of CPU cores
• Hundreds of terabytes of memory
• Petabytes of analytical storage
• Tens of thousands of distributed compute jobs every day

Who You Are

• You care about performance.
• You naturally investigate query plans, indexing strategies, storage formats and latency improvements.
• You like building infrastructure that other engineers depend on.
• Ideal Background

Compensation: Up to 180K TC (depending on experience) + healthcare, pension, etc. and a permanent contract from the start. Relocation and visa sponsorship is possible for senior+ candidates.