{"id":1215689,"url":"https://alion.io/job/arcadis-azure-data-engineer","title":"Azure Data Engineer","company":{"id":48386,"name":"Arcadis","domain":"arcadis.com","url":"https://alion.io/company/arcadis","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":57,"open_postings":622,"ghost_share":0.51,"stale_share":0.011,"repost_share":0.818,"time_to_fill_p50_days":48,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":81000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":404},"experience_years_min":9,"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":"MS SQL","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"SSIS","optional":false},{"name":"Azure SQL Database","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-04-29T08:40:51Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T21:38:42Z","board_verified":true,"closed_at":null,"days_open":149,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":149},"description":"Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.\nWe are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.\nRole description:\nARCADIS is looking for Azure Data Engineer with a passion to drive and execute Digital to the core of everything we do. We firmly believe in “Everything Digital, Digital Everything”. We are transforming, we are reimagining the industry and we are reimagining how communities and nations can help become more sustainable places to live for today and future generations.\nTechnology is the core and integral part of what we do, from empowering Arcadians to harnessing the power of data and AI/ML for sensors, IIoT, and advanced drones. The technology teams are Dreaming Big and Delivering on the future. As part of our Technology drive, we are looking for on-board talented and passionate Azure data engineers across multiple locations in North America.\nRole accountabilities:\nPossess excellent design and coding skills and a zeal for owning the complete SDLC of building applications in a DevOps environment\nYou are excited about working with Azure Data Platform\nchallenges while building the next wave of software engineering solutions\nCollaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in Microsoft Azure Data Platform\nLeading the craftsmanship, security, availability, resilience, and scalability of your solutions\nVery strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries.\nStrong experience in\nT-SQL, SSIS, SSAS, SSRS\nAzure Data Factory\nAzure Data Lake Store\nAzure Data Lake Analytics (Good to have, not mandatory)\nAzure SQL DB\nAzure SQL DW\nAzure Analysis Services, DAX\nAzure Data Bricks with Python/Scala\nExperience in building end to end solution using Azure data analytics platform.\nExperience in building generic framework solution which can be reused for upcoming similar use cases.\nExperience in building Azure data analytics solutions with DevOps (CI/CD) approach.\nExperience in using TFS, Azure Repos.\nMentor peers to gain expertise on Azure data platform solutions skills.\nExperience in developing, maintaining, publishing, and supporting dashboards using Power BI.\nStrong experience in publishing dashboards to Power BI service, using Power BI gateways, Power BI Report Server & Power BI Embedded\nQualifications & Experience:\nBasic Qualifications:\nBachelor's in Engineering/Math/Statistics/Econometrics or related discipline\nShould have 9-15 years of experience in MSBI with relevant hands-on experience in Azure Data Platform (must) for a minimum of 3 years.\nRequired Skills & Experience\nIntermediate-level hands-on experience with Microsoft Fabric:Pipelines, Dataflows Gen2, ADLS Gen2, Notebooks, Lakehouse, Warehouse, Delta tables.\n\nExpertise in SQL (complex transformations, joins across modules, optimization, indexing strategies).\nStrong hands-on experience in PySpark, Delta Lake operations, and scalable distributed processing.\nAbility to build scalable and optimized data pipelines following best engineering practices.\nExperience with performance tuning, query optimization, and pipeline runtime improvement.\nStrong understanding of incremental load vs. full load mechanisms, including change detection, Delta merge operations, surrogate key handling, and data reconciliation.\nExperience working with Fabric notebooks, merging/joining large datasets, and handling incremental vs full loads.\nStrong communication skills and the ability to understand the business logic behind systems.\nWhy Arcadis?\nWe can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.\nYou’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.\nTogether, we can create a lasting legacy.\nJoin Arcadis. Create a Legacy.\nOur Commitment to Equality, Diversity, Inclusion & Belonging\nWe want you to be able to bring your best self to work every day, which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people.","description_format":"text","description_chars":4806,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Science & Engineering","Civil & Structural Engineering","Environmental Science"],"lifecycle":[{"event":"open","at":"2026-09-25T08:29:52Z"}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.521,"p_room":0.28,"age_days":149,"expected_fill_days":48,"reasons":["conf:6","win:tail","crowd:brand"],"computed_at":"2026-09-26T04:03:19Z"},"pay":null,"html_url":"https://alion.io/job/arcadis-azure-data-engineer","json_url":"https://alion.io/job/arcadis-azure-data-engineer.json","meta":{"generated_at":"2026-09-26T04:03:19Z","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":4393,"day_limit":5000,"remaining_today":607,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}