{"id":2292034,"url":"https://alion.io/job/syensqo-azure-data-engineer-1","title":"Azure Data Engineer 1","company":{"id":50272,"name":"Syensqo","domain":"syensqo.com","url":"https://alion.io/company/syensqo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-13T04:10:36Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come.\nJob overview and responsibilities*\nDescribe the main assignments and responsibilities, including management responsibilities\n\nDo you thrive on supporting complex data solutions that drive business success? Are you ready with our data engineers to elevate data integration, storage and services to new heights shaping the future of advanced materials? To push further the creation of value thanks to data & AI? If yes, you are the one we are looking for.\nAbout Syensqo\nSyensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come that do data & AI supporting our business.\nRole Overview\nSyensqo is building a next-generation enterprise data platform on Microsoft Azure to enable scalable, real-time, and AI-driven analytics across the organization. We are seeking experienced Data Engineering experts to design, develop, and optimize this cloud-native ecosystem.\nThe role involves integrating data from multiple enterprise systems, establishing robust and automated data pipelines, implementing strong governance and security frameworks, and delivering high-quality, analytics-ready datasets. The ideal candidate will bring deep technical expertise, a proactive mindset, and the ability to build reliable, enterprise-grade data solutions at scale.\nThe platform will support cross-functional analytics across key business domains such as Sales, Industrial, R&I, HR, Finance and Operations enabling advanced analytics and AI-driven insights.\nKey responsibilities:\nParticipate in building new IT capacities for the business.\n\nDevelop, monitor and maintain scalable data pipelines and platforms in production.\n\nRespond to and resolve incident tickets related to data operations.\n\nOptimize operational processes for efficiency and reliability.\n\nCollaborate with the data team and its stakeholders to ensure data quality and availability.\n\nDocument operational procedures and incident resolutions.\n\nEducation and experience *\nIndicate the required education in terms of minimum years of education, required type of degree, field of studies, etc. and the required knowledge and/or experience in terms of minimum years of experience in the respective field \n\nBachelor’s degree in Computer Science, Information Systems, or related field.\n\n7+ years of experience in data operations, data engineering, or similar roles.\n\nExperience with CI/CD pipeline (e.g. GitHub), data pipeline tools, SQL, and cloud platforms.\n\nStrong problem-solving and communication skills.\n\nStrong competency with data manipulation: Python, SQL, cloud function (Azure function), proven expertise with Azure, Kafka…\n\nPrevious experience with MS Fabric would be a strong plus.\n\nProficiency in BMC Helix and/or JIRA for ticket/task management and Confluence for documentation\n\nHave a good knowledge of RUN Service and experience with development\n\nSkills and behavioral competencies*\nIndicate the required skills and behavioral competencies\n\nTime Management and Self-management: Effectively prioritize and manage multiple incident tickets and operational tasks.\n\nCustomer Service Orientation: Proactively supports internal users and stakeholders, ensuring their data needs are met reliably and efficiently.\n\nAccountability: Takes ownership of incidents and operational tasks, following through to resolution.\n\nCollaboration: Works effectively with cross-functional teams, including data engineers, analysts, and IT support.\n\nAdaptability: Remains flexible and calm under pressure, especially when responding to urgent incidents or changing priorities.\n\nContinuous Improvement: Seeks opportunities to optimize processes and prevent recurring issues.\n\nResilience: Maintains performance and a positive attitude during high-pressure situations or when facing setbacks.\n\nIntegrity: Handles sensitive data responsibly and adheres to company policies and compliance standards.\n\nAttention to Detail: Precision in monitoring, troubleshooting, and documenting processes.\n\nTeam spirit, building relationships, collective accountability\n\nYou love working in a collaborative environment that has a strong focus on teamwork, innovation, open minds and having fun\n\nLanguage skills *\nIndicate the required language skills (mandatory and optional)\n\nFluent in English\n\nWhat’s in it for the candidate\n\nBe part of and contribute to a once-in-a-lifetime change journey\n\nWilling to be part of a team that is going to tackle big bets\n\nHave a fun and work at a high pace\n\nBe part of a forward-thinking company committed to innovation and excellence.\n\nWork in a collaborative and inclusive environment that values diverse perspectives.\n\nContribute to actions that have a meaningful impact on advancing humanity.\n\nIf you are passionate about data engineering and eager to make a difference, we invite you to apply for this exciting opportunity at Syensqo.\n\nAbout us\nSyensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.\nAt Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. 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