{"id":1416226,"url":"https://alion.io/job/coeo-senior-data-engineer","title":"Senior Data Engineer","company":{"id":674758,"name":"Coeo","domain":"coeo.com","url":"https://alion.io/company/coeo","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T18:03:15Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T16:42:07Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Title: Senior Data Engineer \nJob Location: Nanakramguda, Hyderabad, India \nJob Type: Full-time \nDepartment: Consulting Services \nWork Mode: (Hybrid - we operate from the office \"1 day\" per week) \nCompany: Coeo Ltd., \nAbout the company: \nCoeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and comraderies experience working with Microsoft Data Services to help our clients optimize their costs and maximize the benefits from their investments in these technologies. Coeo has been established for over 18 years and has offices in Reading, UK and Hyderabad, India. We are exclusively focused on Microsoft technologies. Our mission is to “help our clients predict their future” through the better use of data, technology, people, and processes. To do this our business has always focused on: \nData Managed Services \nData Platform Consultancy \nAnalytics Consultancy \nArtificial Intelligence Consultancy \nAdoption and Change Management \nBut above all, Coeo’s most important asset is its people, and at Coeo we are really focused on investing time, attention, and resources into building a culture that truly values its people. \nWe are growing our teams in India to support our ongoing customer requirements in Managed Services, Consulting and Development. \nCoeo is recruiting a strong Senior Data Engineer (Consulting); we’ll give you the opportunity to grow and develop your capabilities as well as support you through Microsoft certifications. \nJob Summary \nThe Senior Data Engineer (Consulting) role is a client-facing consulting position within Consulting Services, focused on leading Data, Analytics and AI engagements using Microsoft technologies such as Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse, Azure SQL and Power BI. The role combines hands-on technical delivery, modern data platform architecture, governance, data engineering and analytics expertise with strong consulting, stakeholder management and communication skills. Responsibilities include leading workshops and technical engagements, designing scalable and secure data solutions, mentoring consultants, managing delivery risks and helping clients realise business value from their data and technology investments. \nKey Responsibilities \nLead the delivery of complex Data, Analytics, AI and platform modernization projects using Microsoft technologies, including Microsoft Fabric, Azure Databricks and other Azure data services. \nFacilitate client workshops, discovery sessions and technical engagements, translating business requirements into practical data and analytics solutions. \nDesign scalable, secure and well-governed data platform architectures that align with client objectives and industry best practice. \nProvide technical leadership throughout project delivery, ensuring solutions meet agreed quality, performance and business outcomes. \nDesign and develop data models, semantic models and analytics solutions that enable data-driven decision making and measurable business value. \nAdvocate for effective data governance, user adoption and change management to maximize the value realized from technology investments. \nMentor and support consultants, promoting engineering excellence, knowledge sharing and continuous improvement across delivery teams. \nProduce high-quality technical documentation, solution designs and client-facing deliverables to support successful project outcomes. \nProactively manage technical risks, dependencies and delivery challenges, working with clients and project teams to ensure successful implementation and adoption. \nTechnical Skills \nYou’ll need experience with some of the following, and an ability to learn new technologies and concepts quickly: \nStrong experience designing and delivering modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies. \nProven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization. \nExpertise in building scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on-premises and third-party business systems. \nStrong hands-on capability withSQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. \nExperience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta Lake, data transformation, optimization and operationalization of data solutions. \nAn understanding of data governance, security, lineage and data quality, using tools and frameworks such as Microsoft Purview and enterprise governance practices. \nExperience developing Power BI semantic models, dashboards and reporting solutions that enable self-service analytics and business decision-making. \nFamiliarity with CI/CD, Infrastructure as Code and DevOps practices for deploying and managing modern data platforms. \nAbility to engage with stakeholders to translate business requirements into scalable, secure and supportable data and analytics solutions. \nProject Delivery Experience \n5 to 8 years' experience in a client-facing consultancy or professional services environment. \n3+ years' experience delivering Data & AI, analytics or data platform projects using Microsoft and/or Azure Databricks technologies. \nStrong knowledge of Lakehouse, Data Warehousing, data modelling and modern analytics architectures. \nExperience building data pipelines, integration solutions and cloud-based data platforms. \nExcellent stakeholder management, workshop facilitation and communication skills. \nAble to bridge the gap between business requirements and technical solution design. \nExperience delivering projects using Agile methodologies. \nStrong analytical, problem-solving and consulting capabilities. \nWhat Experience/Skills Do I Need? \nProven ability to deliver client engagements and drive successful outcomes. \nStrong client relationship skills, with a track record of high client satisfaction. \nExcellent communication and presentation skills, both verbal and written. \nStrategic mindset with operational decision-making ability. \nCapable of influencing and guiding both clients and internal teams. \nProactive in identifying new opportunities and resolving challenges. \nBenefits\nCompany bonus scheme driven by your and our success \nComprehensive benefits package \nWe care about your wellbeing so have invested resources and training to help to ensure you can be at your best with us \nVery friendly, inclusive culture, family-feel and strong camaraderie \nCompany growth and new projects mean on going career progression options \nUp to date technology, so collaboration has never been easier \nCutting edge technology projects - exciting goals ahead! \nDiversity and Inclusion\nCoeo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and strive to ensure that everyone feels valued, respected, and supported. If you require any adjustments or additional support during the interview process, please let us know, and we will be happy to accommodate your needs. \nHow to Apply: \nClick Apply or visit our Careers page at www.coeo.com. or you can send your resume to ","description_format":"text","description_chars":7441,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Databases & DBMS","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-28T20:50:12Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":42,"reasons":["conf:3","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/coeo-senior-data-engineer","json_url":"https://alion.io/job/coeo-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T19:33:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2177,"day_limit":5000,"remaining_today":2823,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}