Mirai Talent

About the Company

Mirai is passionately committed to driving proactive change in DE&I (diversity, equity, and inclusion) within the technology & data industries.

Established with the mission to empower data leaders, we ensure that they have the right individuals to build elite, diverse teams.

Our specialisation lies in scaling high-performing teams that thrive on inclusivity and represent a wide array of backgrounds and perspectives.

We offer talent solutions for both permanent and contract positions and are dedicated to delivering exceptional results with a focus on inclusive practices.

Our expertise spans:
- Data Science and Advanced Analytics
- Artificial Intelligence and Machine Learning
- Big Data and Business Intelligence
- Data Engineering and Data Architecture
- Data Management, Data Quality, and Data Governance
- Leadership roles including Chief Data Officer (CDO), Chief Information Officer (CIO), and Data Leaders/Heads of

We champion a hiring strategy that prioritises diversity and inclusion, ensuring that all voices are heard and valued.

At Mirai, we don’t just fill positions—we strengthen your team with leaders and innovators who bring varied experiences and unique insights.

Trust in our deep knowledge and commitment to DE&I as we help empower companies looking to be data-driven.

Listed Jobs

Company Name

Mirai Talent

Job Title

Full Stack Engineer

Job Description

**Job title** Full Stack Engineer **Role Summary** Engineer backend and machine‑learning infrastructure for an agricultural intelligence platform that processes satellite imagery and precision‑agriculture data. Own end‑to‑end data pipelines, model training, and atmospheric‑correction workflows, while collaborating closely with data science, product, and other engineering teams to deliver production‑ready features. **Expectations** - Deliver scalable, maintainable code in a fast‑paced, startup environment. - Balance rapid iteration with robust architectural design. - Communicate technical concepts clearly to both technical and non‑technical stakeholders. - Drive continuous improvement of existing pipelines and systems. **Key Responsibilities** - Migrate machine‑learning training pipelines from local to AWS. - Design, implement, and maintain ML testing pipelines with visualization tools for model performance assessment. - Develop tooling for spectral signal analysis on satellite imagery to diagnose model behavior. - Contribute to atmospheric‑correction testing and visualisation pipelines. - Integrate new satellite imagery feeds and partner APIs (e.g., tractor and precision agriculture data). - Build and maintain data pipelines for ML workflows and crop‑growth modelling. - Optimize geo‑rectification workflows and atmospheric‑correction performance. - Collaborate with engineering, data science, and product teams to ship production features. - Participate in research‑driven and commercial engineering initiatives. **Required Skills** - Strong Python programming; experience with NumPy, Pandas, and data‑processing libraries. - Familiarity with geospatial libraries (e.g., RasterIO, GeoPandas) preferred. - Experience with AWS services (Lambda, ECS/EKS, S3, SageMaker, etc.) and containerized environments (Docker). - Knowledge of backend frameworks such as FastAPI, Flask, or Django. - Practiced in building data pipelines, ML workflows, or MLOps pipelines. - Basic TypeScript experience for frontend‑adjacent tooling is a plus. - Ability to navigate ambiguity, propose improvements, and manage competing priorities. - Excellent written and verbal communication skills. - Previous exposure to a high‑velocity startup or similar environment is advantageous. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience. - Optional: AWS Certified Developer, Solution Architect, or similar credentials.

London, United kingdom

On site

10-11-2025

Company Name

Mirai Talent

Job Title

Analytics Engineer

Job Description

**Job title:** Analytics Engineer **Role Summary:** Design, build, and optimise data models and ELT transformations that underpin the organisation’s analytics platform. Lead end‑to‑end development in a greenfield environment, partnering with sales, commercial, and technical stakeholders to deliver reliable, scalable insights. **Expectations:** - Own the full analytics pipeline from data ingestion to model delivery. - Deliver high‑quality, reusable code and documentation. - Collaborate cross‑functionally and drive continuous improvement of data practices. - Adapt to evolving technology stack and expand responsibilities as the analytics function grows. **Key Responsibilities:** 1. Develop and maintain SQL‐based data models using dbt and Databricks. 2. Create and schedule ELT workflows to transform raw data into curated datasets. 3. Ensure data quality, lineage, and compliance through automated testing and documentation. 4. Collaborate with sales and commercial teams to understand analytical requirements and translate them into technical solutions. 5. Provide mentorship and guidance to junior members as the team scales. 6. Continuously research and evaluate new tools, frameworks, and best practices for analytics engineering. **Required Skills:** - Advanced SQL proficiency, including complex joins, window functions, and performance optimisation. - Hands‑on experience with dbt (modeling, tests, releases). - Proficiency in Databricks (Spark SQL, notebooks, Delta Lake). - Knowledge of modern ELT/ETL best practices and data warehouse architecture. - Strong problem‑solving skills and a methodological approach to building robust solutions. - Excellent communication and stakeholder‑management abilities. - Self‑directed, proactive, and comfortable leading initiatives in a fast‑moving environment. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. - Relevant certifications such as Databricks Certified Data Engineer – Associate or dbt Certified – optional but advantageous.

Hampshire, United kingdom

Remote

09-12-2025