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Data Engineer

Data Engineer

Technical Lead — Data Science (f/m/x)

Sii Poland

Warsaw

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Role description

We’re looking for a technical lead who can do two hard things at once: keep a team of data scientists shipping work that holds up to scrutiny, and stay close enough to the code to know when it doesn’t. You’ll own the technical direction of data science projects end-to-end — from framing the problem with the client to signing off on the modeling approach, reviewing the work, and making sure what gets delivered actually runs.

This is a hands-on role. You’ll still write Python, still challenge model choices, still dig into why the metrics look too good. But your biggest impact will come through others — setting standards, mentoring the team, and making the technical calls that keep projects on track across platforms like Microsoft Fabric, Palantir Foundry, Databricks, and the major clouds.

What We Offer
AI Grant — Stop talking about AI and start building it. Our AI Grant gives you dedicated budget and resources to turn your wildest AI idea into a working project, backed by two paid weeks to focus on nothing else.

AI Center of Excellence — Work alongside specialists in agentic AI, sovereign AI, generative and discriminative AI. This isn’t a siloed team — it’s the people you’ll learn from and build with daily.

Your tools, your choice — Full access to AI-powered development tools including Claude, Cursor, and GitHub Copilot. Pick what works best for you.

Real project variety — From generative AI for legal document compliance, through agentic systems in manufacturing environments, to enterprise-scale AI platforms, computer vision, and autonomous driving. You won’t get bored.

Conference and speaking support — Want to attend conferences? We’ll back you. Want to speak at them? Even better — we’ll support you with dedicated preparation time and bonuses.

Your tasks

  • Own the technical direction of data science engagements: solution design, modeling approach, validation strategy, and delivery quality
  • Lead and mentor a team of data scientists — code reviews, methodology reviews, career development, and raising the bar on what "done" means
  • Stay hands-on: prototype approaches, unblock the team on hard modeling problems, and contribute production-grade Python where it matters most
  • Translate client business problems into scoped, estimable data science workstreams, and push back when the problem doesn’t need a model
  • Set and enforce engineering standards for the team: reproducibility, experiment tracking, testing, and documentation
  • Guide platform decisions and delivery across cloud/data ecosystems — Microsoft Fabric, Palantir Foundry, Databricks, Snowflake, and native Azure/AWS/GCP services
  • Work with AI Architects, data engineers, and client stakeholders to align technical decisions with business outcomes and timelines
  • Represent the team in front of clients: present results, defend methodology, and manage technical expectations

Requirements

  • At least 6 years in data science with a track record of models shipped to production, including a minimum of 2 years leading or mentoring other data scientists
  • Deep, hands-on Python skills across the standard data stack (pandas, NumPy, scikit-learn, XGBoost) — you can still review and write the hard parts yourself
  • Strong statistical and ML foundations: experimental design, validation methodology, and the judgment to spot results that won’t survive contact with reality
  • Familiarity with at least one cloud/data platform and its data science components — Azure (Microsoft Fabric, Azure Machine Learning), AWS (SageMaker), GCP (Vertex AI, BigQuery ML), Snowflake (Snowpark ML, Cortex), Databricks (MLflow, Mosaic AI), or Palantir (Foundry Code Workspaces, Foundry ML, AIP)
  • Experience leading delivery in a client-facing or consulting context: scoping, estimation, and managing technical risk
  • Strong communication skills — able to defend a methodology to a technical audience and explain its business impact to a non-technical one
  • Fluent English (both written and spoken)
  • Fluent Polish required
  • Residing in Poland required

Nice to have

  • Production experience with Microsoft Fabric or Palantir Foundry, or relevant platform certifications
  • Experience with MLOps at team scale: CI/CD for ML, model registries, monitoring, and governance
  • Exposure to GenAI/LLM projects and judgment about where they do — and don’t — belong in a data science solution
  • Public technical presence: conference talks, publications, or open-source contributions

Job no. JOB-D936F

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Data Engineer

People Analytics Lead

PeopleCert

Remotelead

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Role description

Are you interested in working with a leading education technology player, the global leader in the assessment and certification of professional skills industry with a presence in more than 200 countries worldwide?

If so, this is your chance to
apply now
.

PeopleCert
is looking for an experienced
People Analytics Lead
to lead the development of data-driven people insights across the Group. The role will be responsible for shaping the People Analytics agenda, strengthening HR reporting and workforce insights, and ensuring that people data, systems and reporting platforms enable better decision-making across the employee lifecycle.

This is a highly visible role, partnering closely with People & Culture leadership, HR Business Partners, Talent Acquisition, Learning & Development, Finance and business stakeholders to translate workforce data into meaningful insights, actionable recommendations and scalable reporting solutions.

As People Analytics Lead, your responsibilities will include:

  • Leading the People Analytics function and defining the roadmap for workforce reporting, HR dashboards, people metrics and data-driven decision-making across the Group.
  • Developing and maintaining executive-level dashboards, reports and KPIs covering headcount, turnover, retention, recruitment, employee engagement, diversity, absenteeism, internal mobility, workforce productivity and organisational effectiveness.
  • Acting as the subject matter expert for HR data, ensuring data integrity, consistency, accuracy, governance and effective use across HR systems and reporting platforms.
  • Owning and continuously improving the HR reporting infrastructure, ensuring that data from HRIS, ATS, performance management, learning and employee engagement platforms is reliable, accessible and effectively used.
  • Partnering with People & Culture teams and business leaders to understand reporting needs, translate business questions into analytical solutions and provide insights that support strategic workforce decisions.
  • Designing and delivering senior leadership reports and presentations, translating complex datasets into clear business insights, trends and recommendations.
  • Building predictive and trend analyses related to attrition, hiring demand, workforce capacity, talent pipelines, employee lifecycle trends and organisational growth.
  • Supporting compensation, benefits and reward analytics, including benchmarking, pay equity analysis and workforce cost reporting.
  • Identifying and implementing automation opportunities to improve reporting efficiency, reduce manual work and enhance the quality, consistency and timeliness of HR insights.
  • Leading or contributing to HR system improvements, platform enhancements, integrations, upgrades and process optimisation initiatives, ensuring that technology supports the evolving needs of the People & Culture function.
  • Establishing strong HR data governance practices, ensuring compliance with privacy, security and regulatory requirements, as well as internal policies.
  • Staying up to date with emerging trends in People Analytics, workforce intelligence, AI-enabled insights and digital HR solutions, recommending practical innovations that create business value.

What we are looking for:

  • 8+ years of experience in People Analytics, HR Analytics, Workforce Analytics, HRIS, HR reporting or a related analytical HR role.
  • Proven experience leading or significantly contributing to People Analytics, HR reporting or HR systems improvement initiatives.
  • Bachelor’s degree in Human Resources, Business Administration, Data Analytics, Statistics, Information Systems, Computer Science, Mathematics or a related field. A postgraduate qualification would be considered an advantage.
  • Strong hands-on experience with HRIS and HR platforms.
  • Advanced reporting and analytics capability using Excel, Power BI or similar data visualisation tools.
  • Strong understanding of HR metrics, workforce planning, employee lifecycle analytics, organisational effectiveness and people data governance.
  • Experience working with large datasets, data modelling and the integration of data from multiple HR platforms.
  • Strong business partnering skills, with the ability to influence senior stakeholders and translate complex data into clear, practical recommendations.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
  • High attention to detail, strong problem-solving skills and a continuous improvement mindset.
  • Experience in fast-paced, international and technology-enabled environments would be considered an asset.
  • Passion for using data, insights and digital HR solutions to improve the employee experience and support business performance.

What we offer:

  • Competitive remuneration package
  • Work in an international, dynamic and fun atmosphere
  • Two free vouchers for all certifications from PeopleCert's Portfolio per year for all employees
  • Huge learning experience in using best practices and a global environment
  • Constant personal and professional development
  • Exposure to international projects and stakeholders across multiple regions
  • Access to cutting-edge HR technologies and analytics tools
  • Collaborative, inclusive, and people-centric culture
  • Career development opportunities and internal mobility pathways

If you are passionate about turning people data into meaningful insights and helping shape the future of HR through smarter reporting, stronger governance and scalable digital solutions, we would love to hear from you.

About PeopleCert

PeopleCert
is a global leader in assessment and certification of professional skills, partnering with multi-national organizations and government bodies for the development & delivery of standardized exams. Delivering exams across 200 countries and in 25 languages over its state-of-the-art assessment technology, PeopleCert enables professionals to boost their careers and realize their life ambitions.

Quality, Innovation, Passion, Integrity, Clarity and Velocity are the core values which guide everything we do.

Our offices in UK, Greece, and Cyprus boast a culture of diversity, where everyone is different, yet everyone fits in. All of us at PeopleCert are committed to the reflection of the diversity and inclusion of our customers and the communities in which we do business.

Working on Home Office (HO) Secure English Language Tests (SELTs)

Any person who is engaged by PeopleCert to work on the SELT service must undergo a Background Check prior to commencing their SELT duties. All SELT personnel will be required to complete a declaration (provided by PeopleCert) where the existence of any criminal record and/or bankruptcy must be declared.

  • If we work on the SELT service in the UK, background checks will include:
  • If working on the SELT service anywhere in the world (outside of the UK) personnel will undergo background checks that are equivalent to those stated for the UK.

All applications will be treated with strict confidentiality.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Business Data Analyst & Data Efficiency (IA Automation) F/H

Atlas Copco

Remote

Apply on the employer's site

Role description

Votre rôle
Vous êtes passionné(e) par la donnée, l'analyse et l'automatisation des processus ? Vous aimez transformer des volumes de données complexes en informations utiles à la prise de décision ?

Dans le cadre du développement de nos activités, nous recherchons un(e)
Business Data Analyst & Data Efficiency (IA Automation)
F/H capable d'accompagner les équipes métiers dans l'exploitation de la donnée et l'amélioration continue de nos outils de pilotage.

Vos missions
Analyse et valorisation des données

  • Collecter, consolider et fiabiliser les données provenant de différentes sources.
  • Identifier les indicateurs de performance pertinents.
  • Concevoir et maintenir des tableaux de bord Power BI.
  • Garantir la cohérence des indicateurs.
  • Assurer la qualité, le stockage et la sécurité des données.

Automatisation et amélioration des processus

  • Optimiser les flux de collecte et traitement de données.
  • Automatiser les tâches récurrentes.
  • Développer des applications et outils internes.
  • Proposer des évolutions favorisant l’expérience utilisateur.

Gestion de projets

  • Recueillir et analyser les besoins utilisateurs.
  • Piloter des projets data et digitaux.
  • Former les utilisateurs aux nouveaux outils.

Votre profil

  • Formation Bac+3 à Bac+5 en Data, Statistiques, Mathématiques, Informatique, Marketing digital ou Économie.
  • Maîtrise avancée de Microsoft 365 et Power BI
  • Connaissance des bases de données
  • Connaissance CRM type SAP C4C et ERP SAP
  • Anglais professionnel (B2)

Pourquoi nous rejoindre?

  • Poste transverse au cœur des enjeux stratégiques
  • Projets stimulants autour de la data et de l’automatisation
  • Interactions avec de nombreux métiers
  • Environnement favorisant l’innovation

Localisation
Le poste est basé sur Frépillon (95) - du télétravail est possible selon les accords en vigueur

Uniting curious minds
Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Software Engineer II - Oracle Databases

Fivetran

Remotefulltime

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Role description

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About The Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We are looking for a Software Engineer enthusiastic to join our fast-growing company.

As a part of the Oracle Connector Team, you will be responsible to help build new features of our data pipeline service, help improve our software architecture, and maintain reliable operation of the service. We're looking for someone who wants to learn and apply the key values that make our product great, dive deep into complex investigations into data replication and build a world class ELT solution for Oracle systems.

Fivetran is the epitome of data-driven-development — our engineering team is focused on building a world class product that:

  • Facilitates Data Analytics — join our mission to reliably deliver best-in class schemas, and clean data, designed to be intuitively useful to analysts.
  • Contributes to our Community — help develop tools like Data Lakes, SQL-based Transformations, and schema explorers to empower analysts to choose the best tools, and to make those tools more powerful.
  • Is Absolutely Dependable — work to make Fivetran the most reliable and secure component of our customers’ data infrastructure.

We emphasize using no-nonsense tools, and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, C, Postgres, and Kubernetes, and our front-end is built on React and Typescript.

This is a full-time position based out of our Novi Sad office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use
Java, C, Oracle, SQL, Docker/Kubernetes

What You’ll Do

  • Dive deep into data replication debugging, analyzing existing code that is in use by hundreds of customers today. Some clients are operating the largest Oracle clusters in the world.
  • Analyze new features that are introduced by Oracle in recent releases and determine how to develop supporting features.
  • Contribute to the efforts to the maintenance and improvement of existing connectors; call for improvement in all areas of Fivetran's codebase and infrastructure.
  • Be a part of the process to move a high performance client side service to the cloud and operate at scale.
  • Develop software designs and technical roadmap for the team.
  • Contribute to hiring by participating in the interview process.

Skills We’re Looking For

  • Coding:
  • 2+ years programming in Java or C languages, strong preference to C/C++ for this role
  • Writes well-structured and performant code
  • Be able to dive into code that has been previously written and suggest improvements
  • Design:
  • Understand and can explain how to build high performance systems and processes
  • Have an analytical mindset that helps you identify design flaws in existing systems and come up with improvements
  • System:
  • 1+ years of of working in a cloud environment utilizing AWS, GCP, Docker/Kubernetes, CircleCI, or similar technologies
  • 1+ years of infrastructure as code on Docker/Kubernetes, AWS CloudFormation, Terraform, Google Cloud Deployment Manager, or equivalent.
  • Project management:
  • Able to define project requirements. Proficient at designing software and infrastructure
  • Experience understanding customer requirements and/or problems and breaking them down into engineering tasks
  • Collaboration:
  • Experience working in large distributed teams

Bonus Skills

  • Working experience with database internals such as storage format, compression techniques, encryption, disaster recovery, transaction management, or high availability.
  • Working experience in designing and developing file, event, application, or database connectors.
  • Working experience with advanced Java development such as multi-threads, multi-tasking, different asynchronous programming mechanisms, garbage collector tuning, etc.
  • Working experience setting up, maintaining and tuning production Oracle RDBMS.

Perks And Benefits
100% employer-paid medical insurance

  • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off

  • RSU stock grants*

  • Professional development and training opportunities

  • Company virtual happy hours, free food, and fun team-building activities

  • Monthly cell phone stipend

  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior AI-First Data Engineer

Smartcat

Remotefulltimesenior

Apply on the employer's site

Role description

About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.

We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.

Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.

Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.

Join us in unlocking global potential, one human and agent team at a time.

Senior Data Engineer (AI-First)
Mission
Data is becoming one of Smartcat’s most strategic assets.

As a Senior Data Engineer, you will help build the intelligence layer that powers decision-making, AI agents, automation, and business operations across the company.

This is not a traditional data engineering role focused solely on pipelines and dashboards.

You will help transform Smartcat’s data platform into an AI-native foundation where business data becomes discoverable, actionable, and consumable by both humans and AI agents. You will partner closely with Data, Product, Engineering, GTM, and AI teams to create a modern data ecosystem that enables self-service analytics, intelligent automation, and agent-driven decision support.

We're currently building a modern greenfield cloud data platform and transitioning from legacy on-premise and batch architectures toward cloud-native, streaming-first infrastructure. This is an opportunity to have a significant impact on how Smartcat scales its data capabilities over the next several years. The role aligns directly with Smartcat's transformation into an AI-native company and agentic platform.

Outcomes
Evolve our architecture into Next Generation Data Platform

  • Continue building our data architecture into scalable cloud-native AI-first architecture
  • Lead the transition from batch-oriented pipelines to near real-time and streaming data systems
  • Improve reliability, observability, governance, and performance across the data stack
  • Establish engineering standards and best practices for data development

Turn Business Data into AI-Ready Assets

  • Build data products that can be consumed by AI agents, analytics systems, and business users
  • Enable semantic layers, metadata management, and knowledge structures that make data more accessible and actionable
  • Create foundations for agent-driven reporting, forecasting, and business intelligence
  • Help transform business metrics from static dashboards into living operational systems

Drive AI-First Data Engineering

  • Use AI to accelerate development, testing, documentation, monitoring, and operational workflows
  • Design systems that allow AI agents to query, understand, and act on business data safely
  • Evaluate emerging AI technologies and identify opportunities to increase productivity across the data organization
  • Help establish Smartcat as an AI-native data organization, leveraging AI to increase productivity and talent density across the company.

Improve Business Intelligence & Data Accessibility

  • Make analytics simpler and more accessible for non-technical stakeholders
  • Improve usability and adoption of BI tools such as Omni and future AI-powered analytics experiences
  • Enable self-service analytics without sacrificing governance or data quality
  • Reduce time-to-insight across Product, Revenue, Marketing, Customer Success, and Finance teams

Lead Through Technical Excellence

  • Raise the engineering bar through mentorship, code reviews, architecture leadership, and knowledge sharing
  • Influence technical direction across Data Engineering and Analytics Engineering
  • Partner with stakeholders to align platform investments with business priorities

Requirements
Experience

  • 6+ years of experience in Data Engineering, Analytics Engineering, or a related field
  • Proven track record designing and operating modern cloud data platforms
  • Experience in high-growth SaaS environments
  • Experience working with both technical and business stakeholders
  • Demonstrated ability to lead complex projects from design through delivery

Technical Expertise
Strong hands-on experience with:

  • Databricks
  • dbt
  • Airflow
  • Python for data engineering
  • SQL and data modeling
  • Data warehousing architectures
  • Data quality frameworks
  • Data governance practices
  • Data orchestration and integration

Experience with:

  • Streaming architectures and event-driven systems
  • Business intelligence platforms
  • Product analytics platforms
  • CRM and customer data platforms

AI-First Mindset (Required)
You should be able to demonstrate:

  • AI-powered development workflows
  • Automation of repetitive engineering tasks
  • Use of AI for debugging, testing, architecture exploration, and documentation
  • Experience integrating AI into data or analytics workflows
  • Curiosity about agentic systems and the future of AI-enabled data platforms
  • Evidence of measurable productivity gains through AI adoption

Candidates may also have:

  • Experience building AI-native data products
  • Experience with semantic layers, RAG systems, vector databases, or knowledge graphs
  • Experience enabling AI agents to consume operational business data

Why joining Smartcat might be your best move so far

  • A global, connected team
    We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
  • Be part of an AI Native Organization
    We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
  • Innovating a $100 Billion industry
    Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
  • Join the rocketship to scale-up 10x and beyond together
    We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
  • Smartcat Culture Code: Where Diversity Meets High Performance
    At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

781 more openings in this category and country

Technical Lead — Data Science (f/m/x)Sii Poland

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