Data & ML Platform Engineer
Role details
Job location
Tech stack
Job description
As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that power our data processing pipelines and machine learning workflows that support our data-driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering.
What will be your responsibilities:
- Data and ML infrastructure: Design and implement scalable data and ML infrastructure using modern cloud and on-prem distributed technologies and frameworks.
- Data Pipeline Development: Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources.
- Database Management: Manage and optimize databases and data warehouses to ensure data integrity, performance and availability.
- Data Integration: Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis.
- Self-Service Tools: Develop self-service tools that enable stakeholders to extract insights from Data and Machine Learning models.
- Data & AI Platform development & expansion: support the expansion of our Data & AI Platform.
- Security & Compliance: Ensure data security, privacy, and compliance.
- Data Quality Assurance: Implement data validation and quality assurance processes to ensure the accuracy and consistency of data.
- Collaboration: Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support.
- Monitoring & Performance Optimization: Implement monitoring, observability, and alerting for data and ML systems and optimize for performance, reliability, and cost-effectiveness.
- Documentation: Maintain comprehensive documentation of platform components, APIs, and workflows to ensure knowledge sharing and user adoption (e.g. data pipelines, database schemas, Machine Learning systems, etc.)
Requirements
- Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- Preferred location of working: UK, Portugal , France and/or Spain
- Experience: 3+ years of experience in data & ML platform engineering or a similar role.
- Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering scalable and efficient data solutions.
- Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
- Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages.
- Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy.
- Adaptability: Ability to work in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
Technical Skills: *
- Proficiency in programming languages such as Python, Go, Java, or Rust.
- Strong knowledge of containerization technologies (e.g. Docker) and orchestration systems (e.g. Kubernetes) in production environments.
- Experience with SQL,database management systems (e.g., MySQL, PostgreSQL, SQL Server), data modeling and schema design.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud.
- Familiarity with big data technologies (e.g. Spark), data warehousing solutions, data pipeline orchestration (e.g. Airflow), and database systems (SQL and noSQL).
- Design and manage MLOps pipelines to support model training, deployment and monitoring at scale.
- Experience implementing observability stacks and logging pipelines (e.g., Prometheus, Grafana, Loki, ELK).
- Experience with IaC frameworks (e.g. Ansible, Terraform),
- Understanding of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.
Benefits & conditions
At TEKEVER, we offer a comprehensive package designed to reward, support, and develop our people. This includes a highly competitive salary with a discretionary annual bonus and a company pension contribution match of up to 10%. To support your wellbeing, we provide 25 days annual leave plus Bank Holidays, Private Medical Insurance (with optional family cover), Private Dental care, and an Employee Assistance Programme. We are deeply committed to investing in future talent; our scale allows us to provide clear career development opportunities and dedicated initiatives to boost your skill sets, ensuring you remain future-ready for the evolving workplace. Furthermore, our team enjoys a flexible hybrid working model, typically three days a week at our core UK sites like Bristol, and access to a bespoke rewards platform featuring a variety of high street discounts and salary sacrifice schemes, including Electric Car, Cycle to Work, and Technology options.