DATAPAO is seeking a Senior AI Engineer with strong expertise in Databricks to join their team in the UK. The role involves delivering high-impact AI and data engineering solutions for clients, leveraging proven technologies and best practices in scalable data platforms.
What You'll Do
- Design and implement scalable AI and machine learning solutions on Databricks
- Collaborate with data engineers and data scientists to build end-to-end data pipelines
- Lead technical delivery of complex data and AI projects for clients
- Mentor junior engineers and promote best practices in code quality and architecture
- Work closely with stakeholders to understand business requirements and translate them into technical solutions
- Contribute to the development of reusable frameworks and accelerators for AI and data engineering
- Ensure solutions meet performance, security, and compliance standards
What We're Looking For
- Professional experience with Databricks platform (Databricks Lakehouse, Delta Lake, Databricks SQL, Databricks ML)
- Strong proficiency in Python and PySpark for large-scale data processing
- Experience building and deploying machine learning models in production environments
- Solid understanding of cloud platforms (AWS, Azure, or GCP)
- Hands-on experience with data engineering tools and frameworks (e.g., Apache Spark, Airflow, dbt)
- Proven ability to lead technical projects and mentor team members
- Excellent communication and client-facing skills
- Bachelor’s degree in Computer Science, Engineering, or a related field
Nice to Have
- Master’s or PhD in Computer Science, Data Science, or related discipline
- Databricks certifications (e.g., Databricks Certified Data Scientist, Databricks Certified Developer)
- Experience with MLOps tools (MLflow, Kubeflow, Seldon)
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Knowledge of data governance, data lineage, and data security best practices
- Experience working in consulting or professional services environments
- Contributions to open-source projects or publications in AI/data engineering
Technical Stack
Databricks, Delta Lake, Apache Spark, Python, PySpark, MLflow, Airflow, dbt, AWS, Azure, GCP, Docker, Kubernetes, SQL, MLlib, TensorFlow, PyTorch
Team & Environment
Join a growing engineering team with multiple client delivery squads. Work within cross-functional delivery teams including data engineers, data scientists, and solution architects, reporting to the Head of Engineering. Our culture values data-driven passion, collaboration, growth, client focus, technical excellence, continuous learning, and an inclusive, supportive environment.
Benefits & Compensation
- Competitive salary range of £80,000 - £110,000 per year
- Annual performance bonus
- Flexible working hours and remote-first policy
- Comprehensive health and dental insurance
- Generous paid time off (30 days annual leave + bank holidays)
- Professional development budget for courses, certifications, and conferences
- Relocation support for candidates moving to the UK
- Access to internal training programs and mentorship
- Wellness stipend for gym memberships or mental health services
- Company-wide retreats and team-building events
- Employee stock options or equity participation
Work Mode
Hybrid role based in the UK, with flexible working hours and the option to work remotely. Occasional travel to client sites or offices may be required.
DATAPAO is an equal opportunity employer committed to diversity and inclusion in the workplace.