\nAbout HighLevel:\nHighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have ~1200 employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.\n\n\nOur Website - https://www.gohighlevel.com/\nYouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g\nBlog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/\n\n\nOur Customers:\nHighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 500K businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.\n\n\nScale at HighLevel:\nWe operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage.\n\n\nAbout the Role:\nWe are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing, large-scale event-driven architectures, and integrations with various data systems. This role involves collaborating with cross-functional teams to ensure data reliability, scalability, and performance. The candidate will work closely with data scientists, analysts and software engineers to ensure efficient data flow and storage, enabling data-driven decision-making across the organisation.\n\n\n\nResponsibilities:\n* Software Engineering Excellence: Write clean, efficient, and maintainable code using JavaScript or Python while adhering to best practices and design patterns\n* Design, Build, and Maintain Systems: Develop robust software solutions and implement RESTful APIs that handle high volumes of data in real-time, leveraging message queues (Google Cloud Pub/Sub, Kafka, RabbitMQ) and event-driven architectures\n* Data Pipeline Development: Design, develop and maintain data pipelines (ETL/ELT) to process structured and unstructured data from various sources\n* Data Storage & Warehousing: Build and optimize databases, data lakes and data warehouses (e.g. Snowflake) for high-performance querying\n* Data Integration: Work with APIs, batch and streaming data sources to ingest and transform data\n* Performance Optimization: Optimize queries, indexing and partitioning for efficient data retrieval\n* Collaboration: Work with data analysts, data scientists, software developers and product teams to understand requirements and deliver scalable solutions\n* Monitoring & Debugging: Set up logging, monitoring, and alerting to ensure data pipelines run reliably\n* Ownership & Problem-Solving: Proactively identify issues or bottlenecks and propose innovative solutions to address them\n\n\n\nRequirements:\n* 3+ years of experience in software development\n* Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field\n* Strong Problem-Solving Skills: Ability to debug and optimize data processing workflows\n* Programming Fundamentals: Solid understanding of data structures, algorithms, and software design patterns\n* Software Engineering Experience: Demonstrated experience (SDE II/III level) in designing, developing, and delivering software solutions using modern languages and frameworks (Node.js, JavaScript, Python, TypeScript, SQL, Scala or Java)\n* ETL Tools & Frameworks: Experience with Airflow, dbt, Apache Spark, Kafka, Flink or similar technologies\n* Cloud Platforms: Hands-on experience with GCP (Pub/Sub, Dataflow, Cloud Storage) or AWS (S3, Glue, Redshift)\n* Databases & Warehousing: Strong experience with PostgreSQL, MySQL, Snowflake, and NoSQL databases (MongoDB, Firestore, ES)\n* Version Control & CI/CD: Familiarity with Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines for deployment\n* Communication: Excellent verbal and written communication skills, with the ability to work effectively in a collaborative environment\n* Experience with data visualization tools (e.g. Superset, Tableau), Terraform, IaC, ML/AI data pipelines and devops practices are a plus\n\n\n\n\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\n\n#LI-Remote #LI-NJ1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, JavaScript, Cloud, API, Marketing, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $90,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDelhi

Location: We are flexible! Come and join us either in Hamburg or Berlin*\n\nAre you passionate about data engineering and ready to revolutionize how data is managed and utilized within an organization? We are looking for a skilled and innovative Data Engineer to join our dynamic team and help us implement a cutting-edge Data Mesh architecture.\n\nAt FREE NOW we believe in data driven decisions that drive our business forward. We are currently transitioning into a data mesh architecture to establish a very close collaboration between data engineers, data analysts, data scientists and machine learning engineers.\n\nYOUR DAILY ADVENTURES WILL INCLUDE:\n\n\n* Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to understand data requirements and design optimal data solutions in the Data Mesh environment.\n\n* Develop, implement, and maintain scalable data products that enable the seamless flow of data from various sources to the Data Mesh architecture.\n\n* Create and manage data models that cater to the specific needs of data consumers while adhering to data governance and security standards.\n\n* Design and build data quality monitoring frameworks to ensure data accuracy, consistency, and reliability.\n\n* Stay updated with the latest industry trends and best practices in Data Engineering and Data Mesh to continuously improve data pipelines and processes.\n\n* Build high-performance APIs to access and query data from data warehouse.\n\n* Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.\n\n\n\n\nTO BE SUCCESSFUL IN THIS ROLE...\n\n\n* You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Scala and Python.\n\n* Expert level of SQL (especially SparkSQL) and Datawarehouse concept, Database. Experience in building data pipelines is a core requirement. Love getting your hands dirty with the data implementing custom ETLs to craft it into information\n\n* You have knowledge of distributed system, Lambda, AWS S3, AWS Cloud watch ...\n\n* Experience with AWS, Hive, Spark, Trino, Databricks is helpful.\n\n* Enjoy working with stream processing frameworks like Spark structured streaming, Kafka streams.\n\n* You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by many customers, your attention to detail leads to a delightful user experience.\n\n* Fluent proficiency in Business English\n\n* Exceptional analytical skills, lateral thinking and experience in solving challenging problems. Experiences in working with Data Visualisation tools (e.g. Tableau, Metabase) is a plus\n\n\n\n\nBENEFITS & PERKS IN A NUTSHELL:\n\n\n\n\n\n\n* Fully remote* or hybrid working models\n\n\n\n\n\n\n\n* Subsidised gym membership\n\n\n\n\n\n\n\n\n\n* Sabbatical & time off\n\n\n\n\n\n\n\n* Partner product discounts\n\n\n\n\n\n\n\n\n\n* Birthday-off\n\n\n\n\n\n\n\n* Employee assistance program\n\n\n\n\n\n\n\n\n\n* Mobility budget for FREENOW App\n\n\n\n\n\n\n \n\n\n\n\n\nPlus more local benefits depending on your work location!\n\n\n\n\n\n* or in one of the countries where we have a legal entity in!\n\nBENEFITS & PERKS IN A NUTSHELL:\n\n\n\n\n\n\nFully remote* or hybrid working models\n\n\n\n\n\n\n\nFree Udemy e-learning access\n\n\n\n\n\n\n\n\n\nSabbatical & special leave policies\n\n\n\n\n\n\n\nSubsidised gym membership\n\n\n\n\n\n\n\n\n\nBirthday, 24th + 31st December off\n\n\n\n\n\n\n\nPartner product discounts\n\n\n\n\n\n\n\n\n\nMobility benefits card \n\n\n\n\n \n\n\n\n\n\nEmployee assistance program\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\nPlus more local benefits depending on your work location!\n\n\n\n\n\n \n\nDIVERSITY, EQUITY & INCLUSION:\n\nFREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. \nWe want you to grow and evolve, bring your true self to work. \n\n\n\nSEE WHAT OUR AWESOME COLLEAGUES SAY ABOUT US:\n\n                \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, API, Senior, Marketing and Engineer jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBerlin, Berlin, Germany