Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Engineer to own the layer everything else depends on: ingestion and transformation pipelines, storage and warehouse design, and the retrieval infrastructure that AI systems query. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building pipelines that work until the schema changes. Azumo has shipped production data systems since 2016, and the work here is judged downstream: whether a model can be trained on what you deliver, whether a retrieval query returns the right passage, whether a number survives being questioned by the client.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Engineer lane, and it owns pipelines, storage, and the retrieval layer.

One question places the boundary: when the output is wrong, whose problem is it? "The data was missing, stale, or wrong by the time it arrived" is yours."The system did the wrong thing with data that was correct" is the AI Engineer's.

Not quite your profile? Check our other openings:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities:

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

About the Role

We are looking for an experienced Data & AI Capability Manager to lead the delivery of a modern data platform for a strategic enterprise client, as part of one of our early and high-priority data transformation initiatives. The project is building on an initial phase that established the target architecture, delivery approach, and proof of concept. The next phase is focused on turning that foundation into a scalable, production-ready data platform using Microsoft Azure, with Microsoft Fabric at its core. As Data Delivery Lead, you will take ownership of the data workstream from planning through delivery. You will lead the data engineering team, work closely with project and architecture leads, and ensure that the platform is delivered to a high technical and delivery standard. This role is ideal for someone who combines strong data engineering experience with the ability to lead technical delivery and work confidently with both technical and business stakeholders.

What You'll Do

● Lead the delivery of the data platform workstream, from planning throughproduction.

● Translate the existing architecture and roadmap into clear technical deliverables and priorities.

● Lead and support the team throughout the delivery.

● Design and oversee data ingestion, transformation, modelling, and data quality activities.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

The ideal candidate will bring a blend of hands-on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.

RESPONSIBILITIES:

At Motia, we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 300 employees across five offices, we support over 55,000 customers nationwide.

About the role

Reporting to the Head of Business Intelligence, the Graduate Data Scientist will support the development of data-driven insights, predictive models, and analytical solutions that help improve business performance. This is an exciting opportunity for a recent postgraduate to apply advanced analytical techniques in a commercial environment while developing their skills alongside experienced data professionals.

The successful candidate will contribute to projects across marketing, sales, pricing, and customer analytics, helping the business make informed decisions and identify opportunities for growth as we migrate to Microsoft Fabric.

Please note that we are unable to offer visa sponsorship for this role, applicants must already have the right to work in the UK.

Duties & Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

The ideal candidate will bring a blend of hands-on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.

RESPONSIBILITIES:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Business Analyst will support due diligence, portfolio monitoring, and investment analysis by ensuring the integrity and accuracy of land, mineral, and royalty data. This role bridges technical data management and business decision-making — combining analytical skills with cross-functional collaboration across geoscience, legal, finance, and engineering teams.

Key Responsibilities

Rejoignez Excelya, où l'Audace, le Soin et l'Energie définissent notre identité et notre manière de travailler. Nous croyons en la création de solutions ambitieuses et en un environnement inclusif, où la collaboration et le développement individuel vont de pair.

Dans le cadre du renforcement de ses activités de gouvernance des données au sein d'un environnement pharmaceutique international, nous recherchons plusieurs Data Owner Support pour accompagner les équipes métiers dans la structuration, la qualité et la conformité de leurs données stratégiques. Vous jouerez un rôle clé à l'interface entre les équipes Business, IT et Data Governance afin de garantir une gestion efficace, fiable et conforme des données tout au long de leur cycle de vie.

Rejoignez Excelya, où l'Audace, le Soin et l'Energie définissent notre identité et notre manière de travailler. Nous croyons en la création de solutions ambitieuses et en un environnement inclusif, où la collaboration et le développement individuel vont de pair.

Ce poste représente une opportunité stimulante de rejoindre une équipe dynamique et ambitieuse.

Dans le cadre du renforcement de ses activités Data au sein d'un environnement pharmaceutique international, nous recherchons un(e) Data Manager CMC pour assurer la gestion opérationnelle, la qualité et la valorisation des données liées aux activités de Chemistry, Manufacturing & Control (CMC). Vous contribuerez à la fiabilisation des données, à leur intégration dans les systèmes de l'entreprise et à l'amélioration continue des processus de gestion des données au sein d'équipes pluridisciplinaires.