8 companies hiring remote Data Engineers in Liechtenstein. Work from anywhere with these 9 job openings.

Data Engineer

Agile, innovative, creative, moved by challenges. We simplify interactions between people, products and services through technology and creativity.

We are a collaborative team, fueled by slick innovation and acting together with our clients. 

We are from Brasil and from the world. We are ília.

ília

Como Engenheiro de Dados, você terá um papel crucial no projeto, desenvolvimento e manutenção de nossa infraestrutura de dados. Sua principal responsabilidade será arquitetar, construir e otimizar pipelines de dados, garantindo a extração, transformação e carregamento (ETL) eficientes de dados de várias fontes em nosso Data Lake. Você trabalhará em estreita colaboração com equipes multifuncionais, incluindo cientistas de dados, analistas e engenheiros de software, para permitir a tomada de decisões orientada por dados e fornecer soluções de dados de alta qualidade.
Responsabilidades e atribuições:
• Projetar, desenvolver e manter pipelines de dados escalonáveis e eficientes, processos ETL e fluxos de trabalho de dados (ingestão, harmonização, transformação de dados).
• Extrair, transformar e carregar dados de várias fontes em nosso Data Lake, garantindo a qualidade e a integridade dos dados.
• Colaborar com cientistas de dados, analistas e engenheiros de software para entender os requisitos de dados e fornecer soluções técnicas.
• Otimizar o armazenamento e a recuperação de dados para desempenho e economia.
• Desenvolver e manter modelos de dados, esquemas e dicionários de dados.
• Implementar medidas de governança e segurança de dados para proteger informações confidenciais.
• Monitorar e solucionar problemas de pipelines de dados, identificando e resolvendo problemas em tempo hábil.
• Avaliar e recomendar continuamente melhorias para aprimorar a infraestrutura de dados e os recursos de processamento.
• Manter-se atualizado com as tendências do setor e tecnologias emergentes em engenharia e análise de dados.


SR - Data Engineer

Jobandtalent is the world-leading temporary job platform that helps people thrive with their work. We harness the power of technology in order to provide the stability and perks associated with long-term employment. Jobandtalent was founded in 2009 in Madrid with the goal of fundamentally tearing down the barriers of job searching and hiring, and is one of the most successful and fastest growing companies in the industry today. Having placed simplicity and fairness at the core of our platform, we have matched 2,000 clients with over 200,000 people in 2021. With a valuation of $2.4 billion, Jobandtalent is currently the highest valued unicorn in Spain and is backed by leading investors such as SoftBank, Kinnevik, Atomico, Goldman Sachs, Citi and BlackRock.

Headquartered in Madrid, but home to the world, the remote-first company is operating in 9+ markets across Europe and the Americas and has ambitious plans for further expansion.

Jobandtalent

• Design and implement our data platform, with an eye towards growth
• Maintain and build new data platforms based on modern data stack
• Collaborate with engineers, data analysts, product managers, and other stakeholders
• Write quality software that is clean, easy to maintain, secure, and scalable
• Contribute to the implementation of engineering best practices
• Serve as a technical lead on the data engineering team

HQ - Senior Data Engineer (EMEA Remote)

WOO Network is a fast-growing Fintech startup and a deep liquidity network with a mission to empower individuals with the right to freely trade, invest, borrow and lend to better their lives.

We aim to connect traders, exchanges, institutions, and DeFi platforms with democratized access to the best-in-class liquidity and superior trading execution at lower or zero cost. The network powers WOO X, a professional trading platform featuring fully customizable modules, and lower to ZERO-FEE trading complete with deep liquidity sourced from the network.

WOO Network was incubated by Kronos Research, a multi-strategy trading firm that specializes in market making, arbitrage, CTA, and high-frequency trading (HFT), averaging around $5-10 billion of daily trading volume on global cryptocurrency exchanges.

WOO Network is a place for pioneers and entrepreneurs. We work on the bleeding edge of blockchain technology and play a crucial role in empowering the world to trade better and live better.

WOO Network

WOO Data Team is actively developing several areas: product and marketing analytics, data engineering and reporting. We are currently looking for a self-motivated engineer who can reinforce the team. Our team consists of 7 people: the Head of Data, 4 Data Analysts and 2 Data Engineers. Our stack: MySQL, MongoDB, Airflow, Python, Jupyter, Tableau. Working cross-functionally with Product, Engineering, Design, Marketing and Operations teams.

Você será responsável pela gestão e acompanhamento dos indicadores de Churn e Eficiência de clientes, incluindo estudos e análises profundas e correlacionais do contexto do negócio, eventos e efeitos das ações de melhorias. Utilizará ferramentas que permitirão a compreensão dos dados que nos cercam até a tomada de decisões eficazes. Responsabilidades e atribuições:
• Estabelecer governança sobre o indicador de Churn, realizar análise dos desvios, cruzamento com informações de NPS, chamados, entre outros indicadores para entender a causa raiz (análise continua para entendimento de causa/efeito) do cancelamento e efetuar plano de reporte parcial e mensal em fóruns específicos.
• Gerar insights e identificar oportunidades nos projetos e processos, por meio de estudos e análise de dados, apoiando os planos e estratégias da Diretoria.
• Habilidade na construção de modelos estatísticos de previsão do Churn, preferencialmente utilizando ferramentas de Machine Learning, validando a aderência do modelo aos resultados reais.
• Conseguir desenvolver e transformar dados em informações valiosas que possam ajudar na tomada de decisão através de relatórios, painéis de controle e apresentações com alta diligência.

PL - Data Engineer

We are a team of former Google Cloud Architects and Engineers. Headquartered in San Francisco, Zencore is a Google Cloud Premier Partner. Our team has extensive experience with some of Google’s largest and most complex customer engagements. That experience and focus on creating deep engineer to engineer relationships is why we are the best choice for managed solutions and migration services.

Zencore 

• Serve as a member of Cloud Engineering team
• Work with fast-paced innovative companies
• Cover ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data systems
• Be a trusted advisor to clients, helping them with their journey on Google Cloud

Senior Data Engineer

Glassnode is the industry's leading blockchain data and intelligence platform.
We offer the most comprehensive library of on-chain and financial metrics, and provide a holistic and contextualised view of the crypto markets through intelligible and actionable insights.

We equip investors with the necessary tools to confidently navigate this nascent industry, and help them to make educated decisions in an overly emotional and irrational market.

Our data and insights are trusted by the world’s leading investors, hedge funds, banks, asset managers, and crypto companies.

Glassnode

• Take a leading role in designing a self-healing and innovative data pipeline that will process digital assets and financial data
• Develop and maintain scalable ETL/ELT pipelines using tools such as Airflow/Argo, Meltano/Airbyte, or comparable
• Explore and integrate cutting-edge Web3 indexers, data accessors, and other development tools to drive continuous innovation
• Alongside the team, take ownership of project documentation and knowledge base, including manuals, static API specs, and any relevant playbooks

Senior Data Engineer - Portfolio (m/f/d). Remote

We make shopping smoooth with the aim to become the world’s favorite way to shop.Klarna was founded in Stockholm, Sweden and is Europe’s highest valued private fintech company and the second highest worldwide. We offer products and services to consumers and retailers within payments, social shopping, and personal finances.Today, we have more than 7,000 employees from more than 100 nationalities who all work for the same mission: to reshape shopping, by elevating the entire shopping experience for avid shoppers.If you're as excited about this as we are: join us! It’s a hell of a ride.• We’re valued at over $45.6bn and we're growing by more than 40% a year.• We process more than two million transactions a day.• We work with more than 400,000 merchants.• We have 17 core markets.• We have offices in Stockholm, London, New York, Berlin and many more.

Klarna

• Building and running data pipelines, data warehouse, data frameworks or different data presentation techniques
• Collaborating with Data Scientists, Business Analysts, other Engineers building Insights and all Klarna employees that need data in their daily work
• Optimizing for quality, flow, fast feedback, with a focus on end-to-end ownership, continuous improvement, testing, monitoring, and experimentation
• Working with Python, SQL, PySpark, AWS (Redshift, S3, Glue, EMR), Apache Airflow
• Taking care of and becoming an expert in different parts of the domain where sharing and collaboration are key
• Contributing to the growth of Klarna and your work will reach millions of users

Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.

The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution. 

We’re fortunate enough to have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds with a common thirst for excellence and we are constantly looking for more talented individuals to power our growth and serve our users further via their grit and innovation.

Sporty Group

Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in.As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.Who We AreSporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.ResponsibilitiesDesign, develop and maintain scalable batch ETL and near-real-time data pipelines and architectures for various parts of our business, on fast and versatile data sources with millions of changes per day.Ensure all data provided is of the highest quality, accuracy, and consistency.Identify, design, and implement internal process improvements for optimizing data delivery and re-designing infrastructure for greater scalability.Builds out new API integrations to support continuing increases in data volume and complexity.Communicate with data scientist, MLOps engineers, product owners and BI analysts in order to understand business processes and system architecture for specific product features.

EU Data Engineer

Ascend.io, the Data Automation Cloud, was named a 2021 Gartner Cool Vendor and provides the most advanced automation for data and analytics engineering workloads. Ascend unifies the core capabilities of data engineering—data ingestion, transformation, delivery, orchestration, and observability—into a single platform so that data teams deliver 10x faster.

Ascend.io

• Lead the regional support operations for our platform
• Improve processes to support our global customers
• Build and lead a regional support structure to support our growing customer base
• Hands-on to diagnose, troubleshoot, and resolve data pipeline issues working directly with customers
• Work closely with engineering to resolve product incidents
• Work closely with our Tech Writers to ensure our documentation is updated and our Knowledge Base continues to evolve for customer self sufficiency
• Life Insurance
• Long-term & Short-term disability
• Annual Learning Stipend
• Remote Work Stipend

Senior Support Data Engineer (Europe)

8 companies hiring remote Data Engineers in Liechtenstein. Work from anywhere with these 9 job openings.. PL - Data Engineer. Senior Data Engineer. Senior Data Engineer - Portfolio (m/f/d). Remote. Data Engineer. EU Data Engineer. Senior Support Data Engineer (Europe)

9 Remote Data Engineer Jobs in Liechtenstein

8 companies hiring remote Data Engineers in Liechtenstein. Work from anywhere with these 9 job openings.

SR - Data Engineer

ília

HQ - Senior Data Engineer (EMEA Remote)

Jobandtalent

Data Engineer

WOO Network

PL - Data Engineer

ília

Senior Data Engineer

Zencore

Senior Data Engineer - Portfolio (m/f/d). Remote

Glassnode

Data Engineer

Klarna

EU Data Engineer

Sporty Group

Senior Support Data Engineer (Europe)

Ascend.io