Senior Data Engineer

We’re hiring a Senior Data Engineer to own the lifecycle of demo data across all Showcase environments. From grooming datasets to scripting resets and mocking AI-generated scenarios, you’ll make sure our demo stories are always demo-ready — fast, relevant, and reliable.

What you'll do

As the dedicated Senior Data Engineer in Showcase, you’ll play a key role in ensuring our environments run like clockwork. You’ll prepare, maintain, and manipulate data to support high-impact demos and POCs.

Your work will sit at the intersection of engineering, storytelling, and data science. You'll work with the standard ModelBank data ingestion pipelines, but also go beyond — scripting custom triggers, building AI-driven data generators, and ensuring we can reset and rerun scenarios seamlessly. This is a highly autonomous, technical role, and you’ll collaborate closely with backend engineers, QA, and solutions teams to deliver real value through realistic, resilient data.

• Groom and maintain the Showcase data environment using the ModelBank ingestion process and custom scripts;
• Develop data manipulation tools and scripts to support creation, cleanup, and reset of demo scenarios;
• Leverage AI/ML models to synthesize demo data and enhance realism in customer journeys;
• Enable demo teams to trigger dynamic user stories through scripted workflows and scenario generation;
• Work closely with QA and backend engineers to ensure environments are stable, reusable, and scalable;
• Support DevOps practices including containerization, CI/CD integration, and cloud environment management.

Who you are

You’re a hands-on data expert who loves solving real-world problems with smart, scalable solutions. You’re fluent in Python, comfortable with AI/ML, and you know your way around infrastructure just as well as databases. You thrive when your work unlocks speed, flexibility, and wow-factor experiences.

• 4+ years of experience in data engineering, scripting, or infrastructure-heavy data roles;
• Strong Python skills, including experience with pandas, NumPy, and scripting automation;
• Experience building or using machine learning models for data generation, augmentation, or classification;
• Experience with SQL and NoSQL databases, data transformations, and ETL workflows;
• Proficient in containerization (Docker), cloud platforms (Azure), and CI/CD tooling (e.g., Jenkins, GitHub Actions);
• Comfortable building, resetting, and maintaining clean environments to support frequent demo use;
• Bonus: Experience with mocking frameworks, synthetic data tools, or AI-based simulation techniques.

Our Perks

Loud and busy sometimes but always friendly, helpful, and super fun. We love to celebrate each other’s achievements, share jokes, and our love for food, movies, traveling, and sports. We’re one big and diverse family working towards the same goal.

Lunch

Free, healthy lunches every day. Plus snacks and drinks.

Social

Friday parties every month. Office boat you can use with your team.

Health

Discounted gym membership through our corporate fitness plan.

Training budget

Specific budget for your personal development.

Clothing

You can wear clothes you feel comfortable in.

High spec equipment

We provide all employees with high-spec Macs and tech set up.