Our client is a leading international investment fund specializing in leveraging data and technology to refine financial strategies. Their core mission is to generate high-quality predictive signals (‘alphas’) to identify market inefficiencies and opportunities.

The company fosters a data-driven, fast-paced, and collaborative environment where engineers play a vital role in maintaining system stability and performance. This position combines technical problem-solving, operational support, and automation and requires a strong understanding of Linux, Python, and SQL.

The Data Operations Engineer will be responsible for improving the reliability and performance of the customer’s data pipeline. This role involves working closely with researchers, data strategists, operations, and engineering teams to ensure smooth data processing from various vendors and market sources.

Requirements

Technical Skills:

• Proficiency in Python or C++ (Perl is a plus but not required).
• Strong SQL skills; experience with PromQL is a plus.
• Experience with Bash, Git, and Regex.
• Strong Linux/Unix skills, including debugging in a terminal, working with logs, and writing Bash scripts.

Soft Skills:

• Strong communication skills in English (oral and written).
• Ability to analyze complex problems, determine root causes, and implement solutions.
• A positive, team-oriented attitude with a strong work ethic.

Additional Considerations:

• Prior experience in financial services or data science is beneficial but not mandatory.
• Must be adaptable to fast-changing environments.

Responsibilities

• Monitor and support daily data pipeline operations, ensuring reliability and efficiency in a fast-paced environment.
• Troubleshoot real-time trading alerts while managing research-driven workflows.
• Investigate, escalate, and resolve data issues related to structure, quality, and availability.
• Enhance process efficiency by developing SDKs, runbooks, and automation scripts.
• Collaborate with internal teams and external vendors to address operational needs and improve workflows.

English

• ‍B2 (Upper-Intermediate)

Type of work

• Remote, full-time.

Time zone

• Ability to work evening shifts until 21:00 Mexico time (CST) and participate in on-call weekend support on a rotational basis.

Our client is a leading international investment fund that leverages data and technology to develop advanced financial strategies. They focs on generating high-quality predictive signals (‘alphas’) to identify market opportunities. The company fosters a data-driven, fast-paced, and collaborative environment, where technical expertise is essential to maintaining the stability and performance of critical systems.

This role operates at the intersection of L1 and L2 support, with elements of L3 responsibilities, requiring strong debugging skills, analytical thinking, and a proactive approach to problem-solving.

Technologies

• Operating Systems: Linux (administration, monitoring, troubleshooting)
• Programming: Python (backend development, automation, API integration), Bash scripting
• Databases: SQL (relational databases, querying, troubleshooting)
• Infrastructure & DevOps: Kubernetes (preferred), networking, service-oriented architectures

Requirements

Programming & Scripting:

• Strong proficiency in Python (professional experience required)
• Experience with SQL (querying, troubleshooting)
• Bash scripting expertise and ability to write automation tools

Operating Systems & Infrastructure:

• Strong understanding of Linux systems (administration, CLI tools, troubleshooting)
• Familiarity with networking and service communication in Unix environments
• Understanding of Kubernetes and containerized infrastructure (preferred)

Work Style & Soft Skills:

• Problem-solving mindset with a proactive approach
• Strong communication skills, able to explain technical issues clearly
• Experience with ticketing systems, Slack-based support, and email troubleshooting
• Ability to work efficiently in a fast-paced, high-pressure environment

Examples of Typical Issues:

• Trading signals not reaching target systems – requires log tracing, database analysis, and queue debugging
• Debugging scripts failing due to unexpected data inconsistencies
• Monitoring alerts detecting stalled processes – requires scripting fixes and root cause analysis
• Ad-hoc technical validation requests from end users

Responsibilities

Technical Support & Troubleshooting:

• Manage support tickets and resolve system incidents across a multi-layered technology stack
• Debug and troubleshoot issues related to data processing, system integrations, and service interruptions
• Perform root cause analysis and collaborate with engineering teams for long-term fixes
• Support internal users, ensuring timely issue resolution

Automation & Scripting:

• Develop Python and Bash scripts to automate monitoring, alerting, and debugging
• Write self-service scripts and tools for incident resolution
• Optimize existing scripts and code for performance improvements

System Optimization & Monitoring:

• Ensure the reliability and stability of C++ and Python pipelines
• Continuously assess system performance and propose automation strategies
• Implement monitoring solutions to proactively detect issues

Collaboration & Communication:

• Work closely with development and infrastructure teams to address systemic issues
• Maintain clear and structured communication with stakeholders and end users

English

• ‍B2 (Upper-Intermediate)

Type of work

• Remote, full-time.
• On-call rotation required for incident support

Time zone

• Europe & North America

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Our client is a large international investment fund. They use data and technology to find smart ways to improve financial strategies. They aim to create high-quality predictive signals, or ‘alphas,’ to identify market opportunities.

The company is very data-driven and innovative, with teams working closely to develop financial strategies and maintain a strong global platform. It’s a fast-paced and collaborative environment where your technical expertise can make a real impact.

This role combines technical problem-solving with operational support. We are looking for a skilled Linux and Python Engineer to ensure the stability and reliability of our systems and support C++ and Python pipelines.

Technologies: Linux, Python (back-end, tasks automation, API connection), and SQL.

Requirements

Linux Environment:

• Strong understanding of Linux;
• Ability to execute and troubleshoot programs in Linux;
• Experience with workload design, orchestration and monitoring;
• Bash scripting expertise.

Python Back-End Programming:

• Experience working with different types of APIs;
• Automation of monitoring and alerting;
• Troubleshooting existing code.

Databases:

• Understanding of relational data structure;
• Familiarity working with MySQL;
• Quering data and troubleshooting data issues.

Preferred Skills (Nice-to-Have):

• Understanding of data pipelines and/or experience working on data projects;
• C++ knowledge.

Responsibilities

User support & troubleshooting:

• Support internal users, responding to and resolving system issues efficiently;
• Maintain data pipelines, monitor execution and troubleshoot issues;
• Reproduce problems, identify root causes, and collaborate with engineering teams to implement lasting solutions;
• Provide timely solutions to technical challenges that affect system performance or user experience.

Automation & tool development:

• Develop tools and scripts in Python to automate various system tasks, improving operational efficiency, mainly focusing on memory limitations;
• Implement telemetry and monitoring solutions to increase system visibility and proactively detect issues.

Pipelines optimization:

• Continuously assess pipelines performance and identify opportunities to automate manual processes and reduce operational overhead;
• Contribute to improving the efficiency and reliability of the pipelines through innovation and hands-on problem-solving.

Collaboration:

• Work closely with developers, product teams, and other engineers to resolve issues and deliver high-quality solutions;
• Contribute to ongoing pipelines improvements by sharing insights from support incidents andpipelines monitoring.

English

• ‍B2 (Upper-Intermediate)

Type of work

• Remote, full-time.

Time zone

• Central European Time (CET)

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We seek an experienced and strategic Head of a Country Agent Sales Network to establish, manage, and scale client agent-based sales strategy in Mexico or Brazil. This role is responsible for recruiting, training, and optimizing a network of independent sales agents who will promote and sell our partner solutions. The ideal candidate deeply understands B2B sales, digital twin technology, and real estate or facility management industries.

Key Responsibilities

Agent Network Development & Management

• Recruit and onboard high-performing independent sales agents across country.
• Develop a structured sales program with clear guidelines, sales materials, and agent performance incentives.
• Train and support agents to effectively communicate client’s value proposition, including hosting webinars and one-on-one coaching sessions.
• Set and monitor sales targets, ensuring agents meet revenue and engagement goals.
• Implement sales automation tools to streamline communication, lead tracking, and reporting.

Sales & Business Growth

• Develop and execute a go-to-market strategy for our client’s expansion in your country.
• Generate and maintain key industry relationships in commercial real estate, architecture, and facility management.
• Lead strategic sales initiatives, including partnerships, referral programs, and industry collaborations.
• Optimize the sales funnel to increase conversion rates and shorten sales cycles.
• Gather market intelligence and provide insights to refine product offerings and sales strategies.

Collaboration & Leadership

• Work closely with leadership team to align sales efforts with overall business goals.
• Provide ongoing performance reports on agent network effectiveness and sales results.
• Represent our client at industry events, trade shows, and conferences to enhance brand visibility.
• Drive continuous improvement by implementing best practices in agent sales networks from similar industries.

Qualifications & Experience

• 10+ years of experience in B2B sales, with at least 3+ years managing agent or channel sales networks.
• Strong background in PropTech, digital twins, real estate technology, or facility management solutions.
• Proven track record of scaling and managing independent sales agents or channel partners.
• Exceptional negotiation, communication, and leadership skills.
• Experience in sales enablement, including developing playbooks, training materials, and incentive programs.
• Ability to work autonomously in a fast-paced, high-growth environment.
• Comfortable with CRM, sales automation, and data-driven decision-making.

What We Offer

• Performance-based commission structure with no fixed salary.
• Opportunity to shape and own country sales strategy for an innovative digital twin platform.
• A flexible, remote work environment with growth opportunities.
• Direct access to leadership team to influence product and market direction.
• The chance to be part of a rapidly growing technology company network.

If you are a results-driven sales leader passionate about digital twins and real estate technology, we’d love to hear from you! Submit your resume and a brief cover letter outlining your experience in building agent-based sales networks.

Our client is a large international investment fund. They focus on using data and technology to find smart ways to improve financial strategies. Their goal is to create high-quality predictive signals, or ‘alphas,’ to identify market opportunities.

The company is very data-driven and innovative, with teams working closely to develop financial strategies and maintain a strong global platform. It’s a fast-paced and collaborative environment where your technical expertise can make a real impact.

This role is a mix of technical problem-solving and operational support.

Requirements

• Strong expertise in GitLab, Kubernetes, particularly in managing CI/CD pipelines and runners down to BareMetal infrastructure;
• Proficiency in Python programming, with a focus on writing scripts for automation, testing, and troubleshooting;
• In-depth knowledge of Linux environments for managing and deploying system components;
• Experience working with JIRA and integrating it with GitLab for seamless project management;
• Excellent problem-solving skills and a proactive attitude towards learning and adapting to new tools and technologies;
• Strong communication skills to effectively collaborate with technical and non-technical stakeholders;
• Experience in Agile development environments, with exposure to Scrum or Kanban Methodologies.

Responsibilities

• Collaborate within cross-functional teams to improve user experience and streamline software deployment processes;
• Develop and implement software solutions using open-source and enterprise-grade tools;
• Enhance system automation and maintain robust, scalable infrastructure using Python Confidential and other automation tools;
• Provide troubleshooting support for existing products and systems, ensuring high reliability and performance;
• Integrate GitLab CI/CD processes with JIRA for seamless workflow and issue tracking across the development lifecycle;
• Optimize GitLab runners and deployment pipelines from configuration down to BareMetal infrastructure;
• Support continuous improvement by participating in Agile development processes and contributing to sprint planning, retrospectives, and daily stand-ups.

English

• ‍B2 (Upper-Intermediate)

Type of work

• Remote, full-time.

Time zone

• ES Time zone

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