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Data Engineer

Data Engineer

Senior Business Analyst

Alma

Parisfulltimesenior

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Role description

🧡 About Alma
At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place, serving merchants and consumers.

Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience, without encouraging bad debt.

As the buy now pay later leader in France and active in 10 European countries, we've empowered more than 25,000 merchants and 10 million consumers.

With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!

👐 About The Team
Revenue at Alma covers the entire customer lifecycle, from lead generation to churn. It brings together Marketing, Partnerships, Sales and Account Management, representing more than 100 talented professionals.

Revenue Operations plays a key role in helping these teams work together around shared goals, reliable data and efficient processes. The team supports Revenue leaders in improving performance, making better decisions and scaling the organisation.

This position is a permanent contract, based in Paris, with 2 days of remote work per week.

You will report to Basil Lizotte, and work closely with Revenue teams, the Central Data Team, Ops & Risk, Product and Tech.

đŸ’Œ About The Job
As Senior Business Analyst, Revenue Operations, you will create strategic insights that help Alma's Revenue teams understand their performance, identify growth opportunities and improve their speed and efficiency.

You will work at the intersection of data, business and strategy, turning complex questions into clear recommendations and practical tools.

Build reliable data foundations for Revenue

  • Build and evolve business-facing data models by combining relevant CRM, revenue and operational data sources.
  • Improve and maintain existing models and contribute to reliable end-to-end data pipelines.

Turn business questions into strategic insights

  • Analyse Alma's target markets, market share, market dynamics and the key drivers behind commercial wins.
  • Design ad hoc tools and models to help Revenue teams answer tactical business questions and make faster decisions.

Improve performance monitoring and revenue growth

  • Build and manage dashboards, KPIs and revenue forecasts so teams and leadership can monitor business health and progress against their goals.
  • Support Revenue leaders in setting the right targets, understanding growth dynamics and prioritising their roadmap.

Drive data excellence across Revenue

  • Promote data-informed ways of working across Marketing, Partnerships, Sales and Account Management.
  • Collaborate closely with the Central Data Team to maintain high standards of data quality and consistency across the organisation.

🧰 You will work with
SQL, Looker, LookML, Claude Code, Python, dbt, BigQuery, GCP, Rudderstack, Segment, Salesforce

đŸ§© About You
To succeed in this job

  • You have strong SQL skills and are comfortable working with large datasets, raw CRM data and revenue-related information, including Salesforce data.
  • You have experience building business-facing data models, dashboards, forecasts or performance analyses from the initial question through to clear recommendations.
  • You can define relevant KPIs, assess business impact and communicate complex analysis in a clear and actionable way to different stakeholders.
  • You have approximately 4 to 7 years of experience in data analysis, business analysis or a similar role, ideally in a fast-growing technology or fintech environment.

And it will be nice if you also

  • You have experience with Looker and LookML.
  • You are comfortable with Python and modern data tools such as dbt, BigQuery or GCP.
  • You have worked with tracking tools such as Rudderstack or Segment, as well as experimentation methodologies such as A/B testing, significance testing and causal analysis.
  • You are curious about AI-assisted tools and are interested in using tools such as Claude Code in your daily workflow.

Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.

🧘 Your Alma Experience
The culture

At Alma, collective intelligence is at the heart of the way we work. We are building an international company in a fast-growing environment, where people are encouraged to take ownership, share ideas and learn from one another.

You will have access to our Learning & Development Platform, regular feedback and opportunities to develop your expertise and career path. As Alma continues to grow across Europe, you will have the opportunity to work with colleagues from different teams, countries and areas of expertise.

We are committed to building a fair and inclusive workplace. We monitor our gender equality index and remain committed to pay equity, transparency and equal opportunities across the organisation.

The role itself

If you join Alma, you will be able to grow and have an impact by:

  • Influencing strategic decisions across the full Revenue organisation, from lead generation to churn.
  • Combining analytical depth, business understanding and direct exposure to senior stakeholders.
  • Helping Revenue teams build a stronger data culture and create more efficient ways of working as Alma scales across Europe.

đŸ€‘ Compensation & benefits

  • Competitive salary based on 12 months
  • Profit-sharing and employee savings plan
  • Health insurance: 100% covered by Alma, including family package
  • Disability insurance: 100% covered by Alma
  • Sport: partnerships with Gymlib and ClassPass, or €30/month reimbursement for your sports activities
  • Maternity/paternity leave: salary maintained at 100% during leave, with no seniority requirement. Return to work at a 4/5 schedule paid at 100% for 8 weeks
  • Sustainable Mobility Package (FMD): €544.80/year, excluding full-remote contracts
  • Meal vouchers: €10/day, 50% covered by Alma
  • Mental health: free access to the MindDay platform
  • Paid time off: 25 days per year, plus additional paid leave granted to employees on executive contracts
  • Access to our Learning & Development Platform
  • 2 weeks of full remote work possible per year during the summer

🎯 Interview process

  • Video screen with Lydia a Talent Acquisition team member to discuss your background, motivation and the role.
  • Experience interview with Basil Lizotte or/and Gaspard Zha, lasting 45 minutes, to discuss the role, the team and your experience.
  • Home assignment and case study, lasting 1 hour, with members team.
  • On-site team fit interview, lasting 30 minutes.
  • On-site N+2 interview with Antoine de la RiviĂšre, lasting 30 minutes.
  • Reference check with at least two professional references.

🌍 Diversity & Inclusion
At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work, whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience.

As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit and business needs.

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

Ingénieur d'études en humanités numériques (collecte et traitement de métadonnées) (F/H)

PSL Research University

Remote

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Role description

Structure d'accueil

L’ÉCOLE NORMALE SUPÉRIEURE
Créée en 1794, l'École normale supĂ©rieure, membre de l’UniversitĂ© PSL, est un Ă©tablissement d'enseignement supĂ©rieur et de recherche qui recrute sur concours les Ă©tudiants les plus talentueux en France et Ă  l'Ă©tranger. Établissement d'Ă©lite, dont l'activitĂ© recouvre l'essentiel des disciplines scientifiques et littĂ©raires, l'ENS-PSL jouit d'un grand prestige international par la qualitĂ© de ses Ă©tudiants mais aussi par la rĂ©putation de ses centres de recherche.

Non-discrimination, ouverture et transparence
Les Ă©tablissements membres de l'UniversitĂ© PSL s’engagent Ă  soutenir et promouvoir l’égalitĂ©, la diversitĂ© et l’inclusion au sein de ses communautĂ©s. Nous encourageons les candidatures issues de profils variĂ©s, que nous veillerons Ă  sĂ©lectionner via un processus de recrutement ouvert et transparent.

Missions

Activités principales

Structure d'accueil :
Institut des Textes et Manuscrits Modernes (UMR8132) – Équipe Archivos. Projet ANR CARTAS – Pablo Picasso en toutes lettres

Catégorie d'emploi :
A - Ingénieur d'études

ENVIRONNEMENT DE TRAVAIL
L’Équipe Archivos de l’ITEM (UMR8132), recrute un ingĂ©nieur d’études pour participer Ă  la collecte, la structuration, et l’intĂ©gration des mĂ©tadonnĂ©es liĂ©es Ă  la correspondance reçue par Pablo Picasso, dans le cadre du projet ANR CARTAS (2025–2029). Ce projet interdisciplinaire rĂ©unit chercheurs en humanitĂ©s, juristes et spĂ©cialistes du traitement automatique des donnĂ©es afin de cartographier et analyser les rĂ©seaux culturels autour de Picasso, Ă  partir d’un corpus de plus de 30 000 lettres conservĂ©es au MusĂ©e national Picasso Paris.

MISSION PRINCIPALE
L’ingĂ©nieur recrutĂ© aura pour mission principale de participer Ă  la collecte, la modĂ©lisation, la normalisation et l’enrichissement des mĂ©tadonnĂ©es du corpus Ă©pistolaire de Pablo Picasso. Il/elle contribuera Ă©galement Ă  l’intĂ©gration des donnĂ©es dans le lac de donnĂ©es qui sera dĂ©veloppĂ©, Ă  des fins d’analyse et de visualisation des rĂ©seaux culturels.

ACTIVITÉS PRINCIPALES

  • Exploration, analyse et structuration des mĂ©tadonnĂ©es issues du corpus de correspondances
  • Participation Ă  l’alimentation de la base de mĂ©tadonnĂ©es partagĂ©e
  • Élaboration de mappings entre mĂ©tadonnĂ©es hĂ©tĂ©rogĂšnes et formats standards (TEI, Dublin Core, etc.)
  • Contribution Ă  la modĂ©lisation de liens sĂ©mantiques entre entitĂ©s (correspondants, Ɠuvres, Ă©vĂ©nements)
  • Co-rĂ©daction de la documentation technique et du plan de gestion des donnĂ©es du projet

SPECIFICITES DU POSTE

  • Travail en lien avec plusieurs partenaires institutionnels (MNPP, Huma-Num, UniversitĂ©s françaises et Ă©trangĂšres)
  • Participation Ă  des ateliers techniques et Ă  des rĂ©unions de coordination internationales
  • Encadrement possible de stagiaires ou d’assistants de recherche
  • DĂ©placements occasionnels en France et Ă  l’étranger
  • Travail Ă  mi-temps

CHAMPS DES RELATIONS
Internes :
Équipe Archivos, chercheurs de l’ITEM, dĂ©partement informatique ENS-PSL

Externes
: MusĂ©e national Picasso Paris, consortium du projet CARTAS, consortium ARIANE de l’infrastructure Huma-Num

Profil du candidat

Savoirs et compétences attendus

COMPÉTENCES ATTENDUES
DiplĂŽme :
Bac+3 en Humanités numériques, Traitement automatique des données, ou équivalent

Langue
: Niveau C (CECRL) en espagnol

Expérience professionnelle :
Expérience souhaitée dans un projet de recherche impliquant des données patrimoniales et/ou textuelles

Connaissances

  • MĂ©tadonnĂ©es en SHS : TEI, Dublin Core, MODS, vocabulaire contrĂŽlĂ©
  • Structuration et interopĂ©rabilitĂ© des donnĂ©es
  • Normes FAIR
  • HumanitĂ©s numĂ©riques, XML, TEI, RDF, JSON
  • Langues : espagnol, portugais, anglais

Compétences Techniques

  • Outils : XSLT, SPARQL, Python, Git, gestion collaborative de documentation, OpenRefine
  • Bases de donnĂ©es (relationnelles ou documentaires), gestion de formats hĂ©tĂ©rogĂšnes
  • Construction de mappings, modĂ©lisation sĂ©mantique
  • ExpĂ©rience avec des plateformes comme Nakala, MyNkl, ou outils FAIR

Compétences Comportementales

  • Rigueur, autonomie, sens de l’organisation
  • GoĂ»t du travail en Ă©quipe interdisciplinaire et international
  • QualitĂ©s rĂ©dactionnelles et de communication
  • IntĂ©rĂȘt pour l’histoire de l’art, les Lettres et les humanitĂ©s de façon gĂ©nĂ©ral

Cadre D’emploi
Niveau d’emploi : A - IngĂ©nieur d'Ă©tudes

Poste à pourvoir dans les meilleurs délais

Poste ouvert : Aux contractuels CDD de 12 mois

Quotité de travail : 50% - 18h45/semaine

Lieu de travail : 45 rue d'Ulm - 75005 Paris

Rémunération : Selon grille et expérience

Qualite De Vie a L’ens-psl
En rejoignant l’ENS-PSL, selon le statut et les activitĂ©s exercĂ©es, vous pourrez notamment bĂ©nĂ©ficier :

  • Jusqu’à 49 jours de congĂ©s par an (dont RTT) pour un temps complet
  • Jusqu’à 2 jours de tĂ©lĂ©travail par semaine
  • Large offre de formations professionnelles via une Ă©cole interne
  • AccĂšs aux services du campus (restauration, bibliothĂšques, activitĂ©s sportives, etc.)
  • Avantages sociaux : 75 % du titre de transport, allocation mobilitĂ© durable, complĂ©mentaire santĂ© etc.

POURQUOI NOUS REJOINDRE ?

  • Pour intĂ©grer un Ă©tablissement handi-accueillant, engagĂ© pour la diversitĂ©, la mixitĂ© et l’égalitĂ© des chances.
  • Pour contribuer au rayonnement d’un Ă©tablissement d’excellence, impliquĂ© dans des projets stratĂ©giques, dans un environnement stimulant et collaboratif.

COMMENT NOUS REJOINDRE ? :
Envoyer CV et lettre de motivation via le bouton « Postuler à cette offre ».

DiplÎme et expérience professionnelle

Bac+3

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/Data Engineer

Prima

Remote

Apply on the employer's site

Role description

Are you looking for a new challenge?

Fancy helping us shape the future of motor insurance?

Prima could be the place for you.

Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.

To help fuel that growth, we need a
Software/Data Engineer
to join our
Engineering team.
This team is the beating heart of Prima.

You’ll be joining over 300 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.

Excited to make an impact? Here are the details
You’ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines, key elements that have a significant impact on the company’s growth.

What You’ll Do

  • Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources.
  • Leading the way in data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable.
  • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products.
  • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.
  • Embrace continuous learning and experimentation to stay updated on emerging technologies, from testing open source tools to engaging in community-building activities like Meetups. Your passion for staying at the forefront of the field will drive your journey.

What We’re Looking For

  • Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Databricks is a plus.
  • Experience in Data Lake / Big Data Analytics platform implementation with cloud based solution; AWS preferred.
  • Proficient in Python programming and software engineering best practices.
  • Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases.
  • Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices.

Nice-to-Have

  • Hands-on experience in Data Quality and Data Governance techniques.
  • Knowledge on MLOps and Feature engineering.
  • Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM.
  • Exposure to tools like Apache Oozie, Apache Airflow.

€55,000 - €85,000 a year

Why you’ll love it here
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.

đŸ€ž Work Your Way:
Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.

🏁 Grow with us:
We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.

🌈 Thrive and perform:
Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Think you’re a match? Apply now.

At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.

Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at accessible.recruiting@prima.it. Let’s build the future of insurance, together.

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

Site Reliability Engineer – Data & AI

Procter & Gamble

Remotefulltime

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Role description

Job Location
WARSAW DOWNTOWN OFFICE

Job Description
We are looking for a Site Reliability Engineer who builds things — AI agents, automations, and tools that keep our enterprise data pipelines running at scale. If you write production-quality code and are excited by the challenge of building AI-powered systems, we want to hear from you.

Key responsibilities:

  • Build LLM-enabled AI agents that detect, classify, and diagnose issues in data pipelines — replacing manual investigation with automated reasoning and self-healing workflows.
  • Collaborate with engineering teams to embed observability, reliability, and resilience from design through to production — not add it after things break.
  • Build proactive data quality systems — automated checks that validate data as it flows through pipelines, catching issues before they reach consumers.
  • Build logging and monitoring tooling that automatically surfaces issues before they impact downstream users — making failures visible and debuggable.
  • Investigate failures, identify root causes, and turn learnings into better systems.

Job Qualifications

  • 2+ years of experience in Software Engineering or Data Engineering.
  • Experience building ETL/ELT data pipelines.
  • Strong software development skills in Python — you write production-quality code.
  • Practical experience building with LLMs or AI agents; you have shipped something that uses generative AI in a production or near-production context.
  • Working knowledge of cloud services (Azure preferred), including Infrastructure as a Code (e.g. Terraform).
  • Experience building logging systems in production.

We offer

  • P&G-sized projects and access to world leading IT partners and technologies from Day 1.
  • Wide range of self-development possibilities (training and certifications paths).
  • Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
  • Regular salary increases and possible promotions - in line with your results and performance.
  • Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble we embrace a
hybrid work model
that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v\=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

About Us
We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including AlwaysÂź, ArielÂź, GilletteÂź, Head & ShouldersÂź, Herbal EssencesÂź, Oral-BÂź, PampersÂź, PanteneÂź, TampaxÂź and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule
Full time

Job Number
R000157214

Job Segmentation
Experienced Professionals

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 Product Data Engineer

Jobgether

Remotesenior

Apply on the employer's site

Role description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Data Engineer based in Switzerland.
This is a senior data engineering opportunity focused on building customer-facing data products from complex, large-scale, and often unstructured data.

You will join a specialized Data Insights team responsible for turning raw signals into reliable, valuable intelligence that powers core product experiences.

Your work will span data processing, ETL/ELT, orchestration, AI-assisted search, LLM-powered capabilities, and scalable data architectures.

You will own high-impact projects end-to-end, from initial idea and architecture through production launch, iteration, and optimization.

The role combines hands-on engineering with strong product thinking, requiring you to balance quality, performance, cost, and customer value.

You will work in a remote-first environment with high autonomy, fast feedback loops, pair programming, and limited unnecessary meetings.

This is an opportunity to shape the data backbone behind innovative customer-facing products while helping define how AI and large-scale data processing are used in production.

Accountabilities
You will take ownership of complex data products and systems, working across engineering, AI, and product capabilities to deliver reliable and scalable customer-facing solutions.

  • Design, build, and operate data products that transform raw social and public data into consistent, customer-facing insights.
  • Develop large-scale ETL/ELT pipelines and data processing systems using Spark, with PySpark as a preferred technology.
  • Work with unstructured and complex datasets to extract meaningful information and create reliable data products.
  • Own projects end-to-end, from discovery, planning, and scoping through architecture, implementation, production release, and iteration.
  • Build and improve systems that generate insights such as creator locations, demographics, interests, brand collaborations, and other data-driven intelligence.
  • Contribute to the development of AI-assisted search, recommendations, and other intelligent product capabilities using LLMs and embeddings.
  • Build and operate LLM-powered and agentic features in production environments.
  • Design reliable workflows and orchestration processes using tools such as Airflow or AWS Step Functions.
  • Work across AWS and GCP infrastructure to support scalable data processing, storage, and AI workloads.
  • Monitor system performance, reliability, data quality, and operational costs as data volumes and product usage grow.
  • Make informed trade-offs between LLM capability, latency, reliability, and cost.
  • Collaborate with data engineers, backend engineers, and other technical stakeholders through pair programming, code reviews, and rapid feedback cycles.
  • Contribute to system architecture and technical decisions while maintaining high standards for code quality, scalability, and maintainability.
  • Help evolve data systems and customer-facing capabilities as product requirements and technologies change.

Requirements
The ideal candidate is a hands-on senior data engineer who combines strong large-scale data processing expertise with product ownership, modern AI capabilities, and a pragmatic approach to system design.

  • Strong professional knowledge of Apache Spark, with PySpark preferred; experience with Scala or Databricks is also valuable.
  • Proven experience building ETL/ELT pipelines and processing data at significant scale.
  • Comfortable working with unstructured, messy, and complex datasets.
  • Hands-on experience with workflow orchestration tools such as Airflow or AWS Step Functions.
  • Familiarity with the AWS ecosystem, particularly services such as Glue and EMR.
  • Demonstrated ability to ship complete production features from idea and scoping through architecture, implementation, release, and iteration.
  • Hands-on experience building and deploying agentic or LLM-powered features in production.
  • Practical understanding of LLM trade-offs involving cost, latency, performance, and capability.
  • Strong system design and software engineering fundamentals.
  • High attention to code quality, reliability, scalability, and maintainability.
  • Experience working autonomously and taking ownership of complex technical problems.
  • Strong communication skills and ability to provide direct, constructive feedback within a collaborative engineering environment.
  • Based in Europe with significant working-hours overlap with EET/Tallinn time.
  • Experience with AI/ML tools and LLM technologies is a plus.
  • Familiarity with GCP, particularly Vertex AI, is advantageous.
  • Experience with lakehouse technologies such as Apache Iceberg is beneficial.
  • Experience using Pulumi or Terraform for infrastructure as code is a plus.
  • Familiarity with Node.js and TypeScript is advantageous.
  • Understanding of AWS cost mechanics and how infrastructure spending changes with scale is beneficial.
  • Interest in the creator economy and social data products is a plus.
  • Experience should ideally extend beyond analytics, BI, dashboards, or internal reporting into production data systems and customer-facing applications.

Benefits

  • Fully remote position with the flexibility to work from anywhere in Europe.
  • Annual salary range of €90,000–€140,000, depending on location, employment type, skills, and experience.
  • Stock options in addition to salary, with a significant equity component.
  • Unlimited paid vacation.
  • Flexible working hours and an async-friendly culture.
  • High level of ownership with low bureaucracy and minimal unnecessary meetings.
  • Personal development support covering courses, books, conferences, and other learning opportunities.
  • Regular team offsites and opportunities to connect with colleagues in person.
  • Opportunity to work on large-scale data products with direct customer impact.
  • Exposure to modern technologies across AWS, GCP, Spark, Airflow, LLMs, AI agents, lakehouse architectures, and infrastructure as code.
  • Opportunity to influence AI-assisted search, recommendations, and intelligent data products from the early stages.
  • Collaborative environment with experienced data and backend engineers and strong emphasis on autonomy, feedback, and technical ownership.

How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.

655 more openings in this category and country

Senior Business AnalystAlma

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