At Trivelta, we build the technology that powers modern experiences partnering with online sports betting & casino operators to launch their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

The Role

As a Lead Backend Software Engineer you will play a pivotal role in designing, developing, and maintaining the platform’s core infrastructure. As a technical leader, this individual will be responsible for driving innovation, optimizing system performance, and ensuring the scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics.

Key Responsibilities

• Architect & Develop Backend Systems — Design and implement scalable, high-performance backend solutions, ensuring robust APIs for mobile, web, and third-party integrations.
• Ensure Performance, Security & Compliance — Optimize system performance, scalability, and reliability; implement security best practices; ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.
• Manage Data Infrastructure — Build and maintain data pipelines to support analytics, fraud detection, geolocation controls, and regulatory reporting.
• Lead & Mentor — Provide technical leadership, guide engineers in best practices, and foster a culture of continuous learning and innovation.
• Drive Technical Strategy — Lead architectural discussions, evaluate emerging technologies in gaming/fintech/AI fraud detection, and align solutions with long-term company goals.
• Collaborate Cross-Functionally — Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.
• Ensure Operational Resilience — Lead incident response for outages or security events, implement proactive monitoring/alerting systems, and conduct root cause analysis for long-term fixes.

Qualifications

• Proven experience designing, developing, and scaling high-performance backend systems.
• Expert hands-on expertise in Python for backend development, automation, and data processing.
• Skilled in API development, CI/CD, and infrastructure automation.
• Deep understanding of system performance tuning, security protocols, and regulatory compliance (AML, KYC, data privacy).
• Experience with data pipeline design, analytics integration, and geolocation-based access controls.
• Demonstrated leadership in mentoring engineers and making strategic architectural decisions.
• Excellent collaboration skills across product, finance, compliance, and support functions.
• Hands-on experience with incident management, monitoring systems, and root cause analysis.

 Requirements

• Ownership mindset — You take full responsibility for your systems and decisions, proactively identifying problems before they escalate.
• Clear communicator — You can translate complex technical concepts for non-technical stakeholders across product, compliance, and business teams.
• Resilience under pressure — You stay calm and focused during incidents, leading your team through ambiguity without losing sight of priorities.
• Team multiplier — You genuinely invest in the growth of the engineers around you, making the whole team stronger over time.
• Adaptability — You thrive in fast-moving environments where requirements change and you embrace new challenges as opportunities.

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At Varicent, we’re driven by the belief that great people power great companies. As our Senior Software Developer, GenAI, you’ll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products.

You’ll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is ideal for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems.

Overview
• Build and improve AI-enabled product features from prototype to production. You’ll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements.

What You’ll Do:
• Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
• Write production-ready code and lightweight prototypes to validate ideas quickly.
• Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
• Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak.
• Document systems and workflows so others can run, maintain, and extend what you build.

GenAI Competencies You’ll Practice:
• Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads.
• Prepare and maintain data and test cases used to measure output quality.
• Apply common AI application patterns such as prompting, using internal knowledge sources, and calling external tools or APIs.
• Measure quality using repeatable evaluation methods, including automated checks and structured human review when required.
• Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking.
• Follow privacy, security, and compliance requirements in collaboration with Legal and Security teams.

How We Work:
• We balance exploration with delivery — test ideas quickly, then productionize what works.
• “Done” means quality goals are met, followed by continuous improvement in accuracy, cost, and performance.
• The team owns systems end-to-end, including build, release, and operational reliability.

What You Bring:
• 4+ years of overall software engineering experience, with at least 2+ years building and shipping production systems in product teams.
• 4+ years of hands-on technical experience writing production-quality code.
• Strong software engineering fundamentals, including system design and scalable architecture.
• Proficiency in Python and/or TypeScript (or similar), building APIs, services, and data pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, automated testing, and observability.
• An experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly in ambiguous problem spaces.
• Strong interest in learning and applying GenAI technologies in practical, production environments.

Nice to Have:
• Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines.
• Familiarity with LLMOps practices such as experiment tracking, version control for prompts or models, and cost or latency optimization.
• Experience with tools such as LangChain/LangGraph, OpenAI, Anthropic, Azure OpenAI, and vector databases like Pinecone, FAISS, or Milvus.
• Contributions to open source, technical blogs, or conference talks.

Education:
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

 Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Trivelta builds the technology that powers a modern online sports betting & casino platform that operators use to launch and offer their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

As a Senior Backend Software Engineer (Python) operating from our Monterrey office, you will be instrumental in designing, developing, and maintaining the core infrastructure of our platform. You will take ownership of high-performance backend systems, drive technical excellence, and collaborate with cross-functional teams to deliver scalable, secure, and reliable solutions that support our growth and compliance needs.

Key Responsibilities

• Design & Develop Backend Systems — Build scalable, resilient APIs and backend components supporting web, mobile, and third-party integrations.
• Optimize Performance, Security & Compliance — Enhance system performance, implement security best practices, and ensure adherence to AML, KYC, data privacy, and gaming regulations.
• Data Infrastructure & Analytics — Develop and maintain data pipelines for analytics, fraud detection, geolocation, and regulatory reporting.
• Technical Ownership & Collaboration — Collaborate with product, security, compliance, and data teams to translate requirements into effective technical solutions.
• Operational Excellence — Participate in incident response, monitoring, and root cause analysis to ensure system stability and security.
• Mentorship & Innovation — Share knowledge with team members, promote best practices, and explore emerging technologies relevant to gaming, fintech, or AI fraud detection.

Qualifications

• Proven experience in designing, building, and scaling high-performance backend systems.
• Strong expertise in Python for backend development, automation, and data processing.
• Proficiency in API development, CI/CD processes, and infrastructure automation.
• Experience in data pipeline architecture, analytics, and geolocation-based access controls.
• Ability to mentor junior engineers and contribute to architectural decisions.
• Familiarity with security, compliance (AML, KYC, data privacy), and system performance tuning.
• Excellent collaboration skills across cross-functional teams.

This position is onsite at our Monterrey office located in the Corporativo Santa Maria complex.

Trivelta builds the technology that powers modern online sports betting and casino platforms that operators use to launch and offer their own fully customized, branded, and legally compliant iGaming products that drive engagement, retention, and revenue. Through our proprietary sportsbook and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

Based in Boston with global offices, we deliver advanced tools for sportsbook, casino aggregation, PAM (Player Account Management), and poker that help operators launch, manage, and scale their platforms with confidence.

As a Senior Full Stack Software Engineer, you will be instrumental in designing, building, and maintaining the core platform that powers our sportsbook and casino experiences end to end. You’ll work across backend systems and user-facing applications, translating product and design concepts into scalable APIs, robust data flows, and polished interfaces used by thousands of players.

This is a hands-on senior role for engineers who are comfortable moving quickly, communicating clearly, mentoring others, and thinking holistically about product, reliability, and long-term maintainability.

What you’ll do

• Design and implement end-to-end features across backend services and frontend applications, from data models and APIs in Python to responsive interfaces in React and TypeScript.
• Build scalable, resilient APIs and backend components that support web, mobile, and third‑party integrations, with a focus on performance, observability, and reliability.
• Develop and maintain user-facing features in React and Next.js, optimizing for responsiveness, performance, and cross-device compatibility.
• Collaborate closely with product, design, security, compliance, and data teams to translate requirements into technical solutions that balance speed, quality, and regulatory needs.
• Contribute to and evolve our component library and design system, ensuring consistency across the platform and accelerating development for the broader engineering team.
• Develop and maintain data pipelines that power analytics, fraud detection, geolocation, and regulatory reporting, ensuring data accuracy and timely insights.
• Champion performance, security, and compliance (including AML, KYC, and data privacy) across the stack, working proactively to identify and mitigate risks.
• Participate in incident response, monitoring, and root‑cause analysis, helping maintain system stability and a high‑quality player experience.
• Mentor and support other engineers, sharing best practices, reviewing code, and helping elevate the overall technical bar of the team.
• Influence product direction by thinking from first principles about user experience, business impact, edge cases, and the tradeoffs between under‑ and over‑engineering in a fast‑paced environment.

What you’ll bring

• Proven experience designing, building, and scaling high‑performance backend systems in Python or similar languages, including APIs, services, and data processing pipelines.
• Strong proficiency with React, TypeScript, and modern frontend tooling, including experience with frameworks such as Next.js & TanStack.
• Comfort owning the full lifecycle of a feature: from discovery and technical design to implementation, rollout, and iterative improvement in production.
• Experience with CI/CD practices and infrastructure automation, and a solid understanding of how code ships and runs in production environments.
• Familiarity with data pipeline architecture, analytics, and geolocation‑based access controls, or a strong willingness to learn these quickly.
• Understanding of security and compliance requirements (AML, KYC, data privacy) and how they influence system design and implementation.
• Demonstrated ability to mentor developers, contribute to architectural decisions, and drive technical discussions with a clear, pragmatic perspective.
• Excellent communication skills, able to explain tradeoffs, ask clarifying questions, and collaborate effectively with engineers, product managers, and designers.
• A bias toward action, first principles thinking, curiosity, and product awareness: you care about why we’re building something, not just how.

This role operates under a hybrid work model and is based in Monterrey, Mexico.

We’re looking for a Senior Applied Data Scientist ready to elevate their impact. In this role, you’ll lead analytical projects end‑to‑end, applying advanced techniques to distil complex challenges into clear, actionable insights for our clients. You’ll combine strong technical expertise with strategic thinking, guiding both the analytical direction of projects and the quality of insight delivery

As part of our senior team, you’ll investigate and implement advanced methodologies, mentor junior colleagues, and collaborate closely with clients and internal teams to ensure alignment, clarity, and value.

What you'll be doing:

• Lead and execute analytical projects, applying advanced machine learning and analytical methodologies to solve complex client problems.
• Investigate & implement the most appropriate analytical techniques for each project, re-use and enhance global solutions and code.
• Deploy data science algorithms and market products on the designated tech stack, ensuring efficient and cost-effective delivery.
• Build and maintain strong relationships with internal teams and clients, ensuring clear communication and alignment on project requirements.
• Participate in external client meetings, helping explain methodologies, analytical approaches, and solution designs.
• Lead, support and guide junior team members, enabling smooth execution of their projects while maintaining quality standards

What we expect from you

• English language proficiency
• Minimum 5 years of experience with programming and Data Science in work/business environment
• Strong experience with SQL and Python programming, object oriented programming and Test driven development. Experience with PySpark is preferred
• Experience in applying advanced statistical models or machine learning algorithms to solve a variety of complex problems
• Advanced analytical skills, Insights Analysis, Data Visualization and Story telling. Experience with Power BI/Looker studio is a plus.
• Ability to manage own projects, analytical work streams for client accounts, coordinate related projects with other team members and coach more juniors team members.
• Experience working in retail analytics is a nice to have.

Software Development Engineer in Test (SDET)

About the Role

Trivelta powers sportsbook and casino platforms used by operators around the world. As we continue to scale our global offering, we’re looking for a hands-on Software Development Engineer in Test (SDET) to help us build quality into our product from day one. As an early member of our engineering team, you’ll play a key role in shaping our testing strategy, tooling, and quality culture as we scale.

This role is ideal for someone who thrives in fast-moving environments, enjoys wearing multiple hats, and wants real ownership over how quality is engineered—not just validated.

Responsibilities:

• Build and evolve our automated testing strategy from the ground up
• Design, develop, and maintain automated tests for APIs, backend services, and front-end applications
• Partner closely with product managers and engineers to define requirements, edge cases, and acceptance criteria early
• Embed automated testing into our CI/CD pipeline to support rapid, confident releases
• Balance automation with lightweight manual testing when needed to keep velocity high
• Identify quality risks early and propose pragmatic solutions—not bureaucracy
• Help establish best practices for testability, reliability, and observability
• Influence product and engineering decisions with a strong quality mindset

Qualifications:

• 3+ years of experience in SDET, QA engineering, or software engineering with a strong testing focus
• Strong coding skills in at least one modern language (e.g., Python, JavaScript/TypeScript, Java, or similar)
• Hands-on experience with modern test automation tools (e.g., Playwright, Cypress, Selenium, REST/API testing frameworks)
• Experience testing APIs, backend systems, and distributed services
• Familiarity with CI/CD pipelines and version control (Git)
• Comfort working with ambiguity and evolving requirements
• A proactive, ownership-driven mindset—you see problems and fix them

Nice to Have:

• Startup or early-stage company experience
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Exposure to performance or load testing
• Experience working with microservices, event-driven systems, or data-heavy applications
• Ability to influence quality culture beyond just test execution

Why Join Us:

• High impact: your work directly shapes product quality and customer trust
• Ownership: you’ll define how testing works here, not inherit legacy systems
• Speed: small teams, fast decisions, and minimal process overhead
• Growth: real opportunity to expand your scope as the company scales
• Competitive compensation

About the Role

On Trivelta, we build the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch fully branded, legally compliant gaming products combining real social interactions, predictive gameplay, and casino entertainment in one unified experience.

Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we’re scaling rapidly and building a global team passionate about redefining how people play, socialize, and connect.

We’re seeking a hands-on Data Analyst to join our team in Monterrey, MX. In this role, you’ll work closely with business stakeholders to turn complex data into clear, actionable insights. You’ll leverage strong SQL skills to build analyses, dashboards, and reports that support data-driven decision-making across the organization. This is an excellent opportunity for an analytical, collaborative professional looking to make a direct impact in a fast-growing, international environment.

What You’ll Do

• Write complex, efficient SQL queries to analyze data from multiple sources.
• Build reusable datasets, views, and queries for reporting and self-service analytics.
• Partner with stakeholders to define metrics, gather requirements, and translate business questions into analytical solutions.
• Design and maintain dashboards and reports using modern BI tools (Power BI, Tableau, Looker, QuickSight, or similar).
• Validate data quality, investigate anomalies, and ensure consistent KPI definitions.
• Support ML and advanced analytics projects by preparing datasets and interpreting results.
• Work with cloud-based data platforms, preferably AWS (S3, Athena, Redshift, RDS, Glue).
• Apply basic graph or network analysis concepts when working with relationship-based data.
  
  

What You Bring

Must-have

• Bachelor’s degree in a technical or quantitative field.
• 2–5+ years of experience in a data analyst, BI analyst, or similar role.
• Strong hands-on SQL skills (joins, subqueries, window functions).
• Experience working directly with business stakeholders.
• Experience building dashboards in at least one modern BI tool.
• Advanced English and strong communication skills.

Nice-to-have

• Exposure to machine learning or advanced analytics projects.
• Experience with AWS or another cloud data platform.
• Familiarity with Python or R for data analysis.
• Experience with graph or network analysis.