Data & AI Solutions Engineer
Colours of Data
Job Overview
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Job Description
Data & AI Solutions Engineer at Colours of Data
At Colours of Data, we specialize in building actionable insights for businesses. We understand the specific challenges companies face and leverage industry expertise, best-in-class technologies, and proven strategies to create custom-made solutions. Our clients include major names like rohlik.cz, Financial Times, Škoda Auto, O2, Partners Banka, and Marks & Spencer, all of whom trust our expertise.
To support our expanding business and growing teams, we are actively seeking an experienced Data & AI Solutions Engineer. In this pivotal role, you will be responsible for delivering complex machine learning and data engineering projects, crafting custom solutions that fundamentally transform how our clients operate and gain a competitive edge.
Your Mission
As a Data & AI Solutions Engineer, your mission is to drive data and AI transformation within our clients' organizations by:
- Communicating with technical stakeholders to understand their needs and guide them towards effective solutions and adoption.
- Designing complex data pipelines and implementing them hands-on.
- Implementing entire data platforms and preparing data to feed AI and AI agents.
- Implementing other solution components, with a strong focus on data and machine learning engineering.
- Overseeing the creation and deployment of robust data models that support critical business decision-making.
- Acting as an expert advisor, guiding our clients and enhancing their teams’ expertise and capabilities.
Your Expertise & Experience Includes
- Fluency in SQL and the ability to work effectively with raw data.
- Hands-on experience with Python for various data engineering tasks.
- Practical experience with any key cloud platforms, including AWS, Google Cloud, and Azure.
- Proficiency in essential data engineering tools and technologies, such as Spark and CDC tools.
- A solid understanding of data warehousing solutions like Databricks and BigQuery.
- Experience or a strong interest in data science is considered a significant advantage.
- Professional level proficiency in both Czech and English.
What Can You Expect From Us
- Flexible working hours and the ability to work remotely.
- Engaging and diverse projects for major clients across the EU, UK, and Czechia.
- Participation in the ESOP Colours plan.
- An environment characterized by minimal hierarchy and unnecessary processes.
- Options for both permanent employment and contracting jobs.
- Wellbeing activities and regular off-site get-togethers.
How It Works With Us
We believe in transparency. If you decide to apply for the Data & AI Solutions Engineer role, here's an overview of our hiring process:
- 📧 First contact: Send us your CV along with a brief explanation of your interest in this role.
- 📞 First call: A short (30-45 minute) online call with our HR team to get acquainted, discuss mutual expectations, motivations, and ideas.
- 🔬 Deeper dive: A meeting with Petr where we will delve into the role in-depth, your experience, and your expertise. You may also receive a small task to help us better understand your potential.
- 👋 Meet the CEO: Another short (30-45 minute) call with Tomáš to further get to know each other.
- 🤝 Offer: If all stages progress successfully, we aim to extend an offer that we hope you won't be able to refuse.
Key skills/competency
- Data Engineering
- AI Solutions
- Machine Learning
- Python
- SQL
- Cloud Platforms
- Data Pipelines
- Data Warehousing
- Client Consulting
- Stakeholder Communication
How to Get Hired at Colours of Data
- Research Colours of Data's culture: Study their mission, values, recent news, and client success stories to understand their impact in data and AI solutions.
- Customize your resume for Data & AI Solutions Engineer roles: Highlight your expertise in ML, data engineering, cloud platforms, and client-facing project delivery.
- Showcase problem-solving skills: Prepare specific examples demonstrating your ability to design and implement complex data solutions and overcome technical challenges.
- Demonstrate client-facing expertise: Emphasize your experience in communicating with technical stakeholders, understanding business needs, and advising clients effectively.
- Prepare for technical deep-dives: Brush up on advanced SQL, Python for data engineering, cloud architecture (AWS, GCP, Azure), data warehousing, and Spark concepts.
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