
1001 - 5000 employees
Founded 2008
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
🕒 May 12
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2008
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
• You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery). • Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients. • Modelling the data from various sources and technologies. Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities. • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. • Identifying and resolving issues related to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations. • Train and mentor less experienced data engineers, providing guidance and knowledge transfer.
• At least 7+ years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems. • Deep knowledge of Google Cloud Platform and cloud computing services. • Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms. • Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability. • Programming skills (SQL, Python, other scripting). • Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing. • Knowledge of at least one orchestration and scheduling tool (Airflow is a must). • Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis. • Knowledge of modern data transformation tools (such as DBT, Dataform). • Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner. • Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement. • Tools knowledge: Git, Jira, Confluence, etc. • Open to learn new technologies and solutions. • Experience in multinational environment and distributed teams.
• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. • “Office as an option” model. You can choose to work remotely or in the office, depending on your location. • Flexibility regarding working hours and your preferred form of contract. • Comprehensive online onboarding program with a “Buddy” from day 1. • Cooperation with top-tier engineers and experts. • Unlimited access to the Udemy learning platform from day 1. • Certificate training programs. Lingarians earn 500+ technology certificates yearly. • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. • Internal Gallup Certified Strengths Coach to support your growth. • Grow as we grow as a company. 76% of our managers are internal promotions. • A diverse, inclusive, and values-driven community. • Autonomy to choose the way you work. We trust your ideas. • Create our community together. Refer your friends to receive bonuses. • Activities to support your well-being and health. • Plenty of opportunities to donate to charities and support the environment. • Modern office equipment. Purchased for you or available to borrow, depending on your location.
Apply Now🕒 April 29
Lead Data Engineer at Clario designing and maintaining data platforms for clinical trials. Collaborating across teams to deliver data-driven solutions with a strong focus on Python and AWS.
Airflow
Apache
AWS
Cloud
Django
EC2
ETL
Flask
JavaScript
MS SQL Server
Numpy
Oracle
Pandas
Postgres
Python
SDLC
SQL
🕒 April 28
Data Engineering Lead needed to scale and manage a team at Forbes Advisor. Oversee delivery of data pipelines and ensure engineering excellence in a remote-first environment.
Airflow
BigQuery
ETL
Google Cloud Platform
Kafka
Python
Spark
SQL
🕒 April 27
AWS Data Engineer (Senior) designing and maintaining data pipelines using AWS technologies. Collaborating with teams to optimize data models and solutions in a remote working environment.
Airflow
Amazon Redshift
AWS
PySpark
SQL
🕒 April 24
Full Stack Data Engineer at Codvo responsible for designing and maintaining Databricks data pipelines. Collaborating with data scientists and implementing best-practice DevOps/MLOps processes for operationalizing machine learning models.
AWS
ETL
Flask
PySpark
Python
Spark
Unity
🕒 April 23
Senior Staff Data Engineer guiding the design of enterprise data platforms for analytics and AI/ML systems. Mentor engineers while driving standards and best practices.
Cloud