Remote Data Jobs • GCP

CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. They improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. They apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions.

Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications. Collaborate closely with R&D and DevOps teams. Research, invent and adapt machine learning algorithms for dedicated business needs. Perform predictive and statistical modelling and ad-hoc analyses as required.

Shape the digital workplace of the future for our customers as an AI Developer. You will solve complex data challenges and develop innovative solutions in the Google Cloud Platform (GCP). Enjoy a wide range of exciting projects from chatbots to complex quality assurance systems in manufacturing, and collaborate with an experienced and dynamic team.

Design, scalable software systems with a focus on quality, performance, and maintainability. Lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards. Collaborate with Research Leads, Product Owners to gather requirements, design ML systems and coordinate the software delivery. Create and maintain documentation for the different initiatives the team is participating in.

Work on a cloud-native analytical database system built for multimodal (often time-series) data. The system is built in Rust and makes extensive use of Apache Arrow and supports specialised queries to handle robotics-style multimodal logs. Design, implement and operate the core pieces that make sure this data-intensive system is highly scalable, reliable and observable.

We are looking for a motivated junior-level data professional (Engineer, Analyst, or Scientist) to join our nearshore Devoteam team on a project with strong focus on SQL and Google Cloud Platform (GCP). This is a remote position, but candidates must be based in Portugal, as you’ll be integrated into one of our Devoteam teams operating from the country.

We are seeking an experienced Data Engineer with deep expertise in data transformation at scale, particularly in integrating and processing data from third-party public APIs. This role is critical to enhancing and maintaining data pipelines that feed into Natural Language Processing (NLP) models.

Engage with customer organizations, understand their business, and establish technical and business credibility to cultivate relationships and envision creative sales and solution strategies that generate additional revenue. Oversee holistic solutions from both business and technical perspectives, organize and lead technical customer needs identification, and lead the creation of customer-specific services and technology solutions.

Hands on Data Engineer with some architecture skills to operate in a lead role. The role involves understanding the underlying business problem to enable and deliver a technical solution. Heavy experience in asset management/financial services is needed. A strong background working within GCP. Strong experience working with Snowflake or Redshift. Specific experience coding in Python is needed.

An experienced data engineer is needed to transform raw data into useful data systems. You will be responsible for designing, developing, testing, and deploying data pipelines, data warehouses, data lakes, and data products that support business needs. You will also work closely with data analysts, data scientists, and other stakeholders to ensure data quality, reliability, and availability.