{"id":2167372,"url":"https://alion.io/job/enermech-senior-data-engineer-azure-databricks-platform","title":"Senior Data Engineer - Azure Databricks Platform","company":{"id":4735,"name":"EnerMech","domain":"enermech.com","url":"https://alion.io/company/enermech","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":91,"open_postings":53,"ghost_share":0,"stale_share":0.377,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, 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":55},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Terraform","optional":false},{"name":"DNS","optional":true},{"name":"GDPR","optional":true},{"name":"Microsoft Entra ID","optional":true}],"status":"live","first_seen_at":"2026-10-09T10:41:10Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T09:32:29Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.\nFor over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land.\nWe enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.\nWithin these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency.\nWith a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.\nThe Role & Responsibilities\nThe role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable.\nWorking for our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre, the role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders.\nKey reponsibilities will include:\nDesign, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. \nIntegrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. \nBuild and optimise Delta tables and materialized views, with attention to performance at scale. \nDesign and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. \nDefine job-specific compute configurations appropriate to each workload, balancing performance and cost. \nContribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). \nOwn and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. \nSupport environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. \nOperate autonomously across a workstream, from scoping through to production deployment. \nUse AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. \nCommunicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific.\nThe Requirements\nEssential\nBachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. \nTypically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. \nDemonstrated ownership of medallion architecture design and data modelling. \nImplemented data quality frameworks and data contracts in production. \nImplemented PII protection (masking, tokenisation or access tiering) across environments. \nPlatform engineering experience: diagnosing infrastructure issues, not just consuming platform services. \nTrack record of autonomous delivery, including direct stakeholder engagement. \nDatabricks Certified Data Engineer Associate (minimum). \nDesirable\nDatabricks Certified Data Engineer Professional. \nMicrosoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. \nMulti-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). \nMigrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. \nGovernance and identity patterns (e.g. Entra ID, RBAC scoping). \nApplying regulatory frameworks (e.g. GDPR) to data platform design. \nShared service centre or global delivery model experience, ideally in energy or industrial services.","description_format":"text","description_chars":4615,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Maintenance, Repair & Operations (MRO)","Oil & Gas","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-09T10:41:10Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":56,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/enermech-senior-data-engineer-azure-databricks-platform","json_url":"https://alion.io/job/enermech-senior-data-engineer-azure-databricks-platform.json","meta":{"generated_at":"2026-10-12T13:26:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20960,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4735},"rest":"https://alion.io/mcp/rest/get_company?id=4735"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fenermech-senior-data-engineer-azure-databricks-platform"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fenermech-senior-data-engineer-azure-databricks-platform"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fenermech-senior-data-engineer-azure-databricks-platform"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/enermech-senior-data-engineer-azure-databricks-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fenermech-senior-data-engineer-azure-databricks-platform"}]}