Data & ML Platform Engineer DATA & AI

Tekever Corporation; Bristol; On-site; GBP 80,000 - 100,000; Full time

Job summary

A technology firm in the UK is seeking a Data & ML Platform Engineer to design and maintain the infrastructure for data processing pipelines and machine learning workflows. Responsibilities include developing scalable data pipelines, ensuring data security, and collaborating with teams to meet data infrastructure needs. The ideal candidate will have a bachelor’s or master’s degree and at least 3 years of relevant experience, with strong skills in programming and cloud platforms. Salary is competitive based on experience.

Benefits

Excellent work environment

Competitive salary based on experience

Qualifications

• 3+ years of experience in data & ML platform engineering.
• Advanced proficiency in Portuguese and English (C2 level).
• Strong analytical and problem-solving skills.
• Excellent communication skills for technical and non-technical collaboration.
• High attention to detail for data quality assurance.

Responsibilities

• Design and implement scalable data and ML infrastructure.
• Develop and maintain data pipelines for processing large volumes of data.
• Manage and optimize databases to ensure data integrity.
• Integrate data from multiple sources for analysis.
• Develop self-service tools for stakeholders.
• Support the expansion of Data & AI Platform.
• Ensure data security and compliance.
• Implement data validation and quality assurance processes.
• Collaborate with team members to understand platform requirements.
• Monitor and optimize data system performance.

Skills

Programming in Python

Proficiency in Go

Java or Rust

Containerization (Docker)

Orchestration (Kubernetes)

SQL proficiency

Experience with cloud platforms (AWS, Azure, Google Cloud)

Big data technologies (Spark)

Data pipeline orchestration (Airflow)

Infrastructure as Code (Ansible, Terraform)

Education

Bachelor’s or Master’s degree in Computer Science or related field

Job description

Mission:

As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers 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.)

Profile and 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.

What we have to offer you:

• An excellent work environment and an opportunity to make a difference;
• Salary Compatible with the level of proven experience.