Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
We are looking for a Data Engineer with strong hands-on experience in batch data processing and practical exposure to streaming solutions.
The ideal candidate understands event-driven architecture and can design scalable, real-time data pipelines on Azure.
The role includes designing reliable near real-time data platforms supporting analytical and operational use cases.
Tasks:
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Design and implement scalable batch data pipelines on Azure using modern ETL/ELT approaches
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Develop and optimize data transformations using Apache Spark and SQL, ensuring performance and maintainability.
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Design efficient data models for analytical and reporting use cases (data lakes, data warehouses).
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Ensure data reliability, quality, monitoring, and performance in distributed environments.
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Build and maintain near real-time data pipelines using Apache Spark (Structured Streaming).
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Implement Change Data Capture (CDC) pipelines from relational databases when required.
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Contribute to event-driven solutions using message brokers where streaming use cases are present.
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Engage with stakeholders to refine data requirements and architecture choices.
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Perform code reviews, promote best practices, and mentor junior engineers.
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Work independently while maintaining effective communication with stakeholders.
What We're Looking For:
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4–6 years of experience as Data Engineer
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Strong SQL and Python skills (production-grade code)
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Experience with Apache Spark (including Structured Streaming)
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Hands-on experience with Azure (Synapse / ADF / ADLS / Databricks)
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Understanding of distributed systems fundamentals
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Experience designing ETL/ELT pipelines
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Experience working in Agile environment
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English C1.
What Will Set You Apart:
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Experience with Apache Kafka (event streaming) and/or Apache Flink (stream processing engine).
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Experience with Change Data Capture (CDC) tools (e.g. Debezium, SQL Server CDC, Azure CDC, Kafka Connect).
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Experience with schema management (e.g. Avro, Schema Registry).
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Experience with Delta Lake / Delta Live Tables.
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Knowledge of event-driven architecture patterns.
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Experience with CI/CD for data platforms.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
We offer:
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Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
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“Office as an option” model. You can choose to work remotely or in the office.
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Workation. Enjoy working from inspiring locations in line with our workation policy.
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Great Place to Work® certified employer.
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Flexibility regarding working hours and your preferred form of contract.
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Comprehensive online onboarding program with a “Buddy” from day 1.
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Cooperation with top-tier engineers and experts.
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Unlimited access to the Udemy learning platform from day 1.
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Certificate training programs. Lingarians earn 500+ technology certificates yearly.
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Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
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Grow as we grow as a company. 76% of our managers are internal promotions.
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A diverse, inclusive, and values-driven community.
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Autonomy to choose the way you work. We trust your ideas.
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Create our community together. Refer your friends to receive bonuses.
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Activities to support your well-being and health.
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Plenty of opportunities to donate to charities and support the environment.
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Modern office equipment. Purchased for you or available to borrow, depending on your location.
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