{"id":677274,"url":"https://alion.io/job/icmasiapacific-data-engineer-azure","title":"Data Engineer - Azure","company":{"id":679435,"name":"ICM Asia Pacific","domain":"icmasiapacific.co.nz","url":"https://alion.io/company/icmasiapacific","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Zealand"],"countries":["NZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":110000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2022-10-18T00:00:00Z","employer_posted_date":"2022-10-18","last_verified_at":"2026-10-29T14:31:13Z","board_verified":true,"closed_at":null,"days_open":1472,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":1472},"description":"COMPANY ENVIRONMENT\nAdaptiv is the leader in data and integration consulting and development in NZ, delivering innovative solutions to meet our clients’ needs through cloud-based services. We employ the best of the best in the industry which makes it easy to support our staff in gaining the skills necessary to become data and integration experts.\nNo two days are the same, and while we provide complex solutions for some impressive clients, we know when to switch off and have fun. With no office politics, an excellent company culture and a modern rooftop office (BBQ anyone?), this kind of opportunity does not come around often.\nPOSITION SUMMARY\nThe Azure Data Engineer position is a critical role as it provides data consulting across the Company’s partner businesses (clients). The position is responsible for assisting with the design, implementation, review, and updates of the Company’s IT solutions for clients. This is a varied position with exposure to data technologies both on-premises and on Azure.\nThis position will be required to work on multiple projects at any one time and balance workload accordingly. The role is required to use tools and techniques related to cloud development in a dynamic, constantly changing environment.\nThis position is highly responsive to the requests of clients with work priorities largely influenced by these stakeholders.\nSIGNIFICANT WORKING RELATIONSHIPS\nInternal\n· Managing Director\n· Support Team\n· General Manager\n· Executive Management Team\n· Architecture Team\n· Development Team\n· Sales and Marketing Team\n· Human Resources Team\n· Finance Team\n· Infrastructure Team\n· Data Practice Lead\nExternal\n· Clients\n· Suppliers and Vendors\nPOSITION RESPONSIBILITIES\nData Engineering\nDeliver data solution architecture for clients (data lakes, cloud data warehouses, data enhancement via machine learning APIs)\n\nBe part of a team on larger scale deployment and deployments \n\nLead in the development and implementations of the company’s data engineering solutions on Azure\n\nUndertake hands-on development for client projects \n\nProvide guidance and demonstrate best practices when delivering solutions \n\nUnderstand and utilise modern data platforms (cloud or on-premises)\n\nMost of the work will be done using tools of the trade (Azure Data Factory) Knowledge in both SQL and Python required.\n\nData Architecture\nProvide consultancy services to our customers \n\nDevelop principles and policies for development of a data lake, cloud data warehouse (CDW), machine learning\n\nContinuous Integration and Infrastructure as Code\nExperienced in use of industry-leading CI/CD platforms such as Git, Azure DevOps\n\nCan design and implement full CI/CD pipelines for a data solution\n\nIntegration Testing\nBuild test driven practices utilising best of breed frameworks for unit and integration testing\n\nTest and UAT environment provisioning for clients\n\nCloud Integration\nCreate and design compelling architectural blueprints to deliver value to our clients\n\nComplete independent vendor evaluation\n\nImplement data engineering and machine learning solutions on the Azure technology stack\n\nImplementation assistance on projects\n\nImplement proof of concept prototypes\n\nTraining\nWe will provide access and support to any data engineering training needs on any platforms (GCP, Azure, AWS). You will be able to choose your own path.\n\nGetting certified is highly encouraged, and paid for\n\nContinuous Improvement\nIdentify and propose development and architectural improvements to existing systems\n\nIdentify and introduce industry best practice standards in all projects, work requests and responsibilities\n\nSeek to educate team members and stakeholders about best practice where appropriate\n\nWork with partner businesses/clients to help drive “thought leadership” on data and cloud architecture\n\nConstantly up skill on latest technologies to remain at the forefront of service delivery\n\nAssist with driving Adaptiv’s thought leadership via social media \n\nWork Planning & Management\nManage daily tasks and projects to ensure work is completed consistent with assigned priorities and deadlines\n\nAssist in evaluating work requests on a technical, architectural and consistency level to provide feedback to stakeholders on viability\n\nParticipate in planning meetings as required\n\nInitiate and attend meetings with team and stakeholders to give timely updates on work progress and resolution of issues\n\nReport progress to team and Project Manager as appropriate.\n\nAssist the executive team with presales and project establishment\n\nOccupational Health & Safety\nResponsible for taking reasonable care to ensure own health and safety at work, and to avoid adversely affecting the safety or health of any other person at work\n\nEnsuring adherence to organisation-wide policies, procedures and monitoring the compliance of all team members\n\nResponsibilities on Demand\nDue to the fluid and dynamic environment within the group, new, additional, or amended position responsibilities may be required at any time\n\nSuccessful demonstration of change orientation is an ongoing responsibility of all positions\n\nKEY RESULT AREAS\nAct as a subject matter expert in data engineering and Azure data technologies\n\nWork with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from Azure\n\nWork with Agile and DevOps techniques and implementation approaches in the delivery\n\nShowcase your Azure Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions\n\nBuild and deliver Data solutions using Azure products and offerings\n\nWillingness to learn and upskill yourself on other cloud platforms (GCP, AWS). Getting certified is highly encouraged!\n\nRepresent the Adaptiv brand on the turf and help us deliver projects on time and on budget\n\nCo-own and build our Azure community, contributing in the knowledge exchange learning programme of the platform either via blog posts, LinkedIn articles, conferences and roadshows\n\nPERSON SPECIFICATION\nQualifications\nAt least 4 years of professional experience in a consulting environment on a cloud Platform with a focus on Azure. \nUniversity degree not necessarily required as we believe more in people than diplomas. Experience matters more.\nIdeally you should at least have one valid and active Azure certification.\nSkills\nHands on and experience building Data Analytics solutions on Azure (e.g. ADLS Gen2, Synapse Analytics, SQL Database, CosmosDB, Azure Data Factory, Azure Functions, Azure Logic Apps, Event Hubs, Databricks, PowerBi, Azure DevOps).\n\nExperience in Spark (Scala/Python/Java) and Kafka.\n\nExperience architecting and building Data Lakes on Azure (ADLS Gen2)\n\nExperience building data models in a CDW (Synapse) based on Start Schemas, Wide Tables (or OBT).\n\nExperience working with AI/ML as a service\n\nKnowledge in MDM, Metadata Management, Data Quality, Data Lineage tools and more generally in Data Governance.\n\nEnd to End Data Engineering and Lifecycle (including non-functional requirements and operations) management.\n\nRegulatory and Compliance work in Data Management.\n\nEnd to End Solution Design skills - Prototyping, Usability testing and data visualization literacy.\n\nExperience with SQL and NoSQL modern data stores.\n\nKnowledge in both SQL and Python\n\nExperienced in use of industry-leading CI/CD platforms such as Git, Azure DevOps\n\nPersonal Competencies & Attributes\nExcellent communication skills both verbal and written\nA strong eye for detail\nSelf-managing with a highly motivated and results driven approach\nSense of urgency, can-do and proactive attitude\nAbility to juggle multiple tasks and deadlines\nExcellent relationship/interpersonal skills\nAbility to think outside the box and demonstrates sound problem-solving mindset\nFlexible and adaptable\nComplete professionalism\nSense of humour\nOur offer\nCompetitive remuneration package\n\nWith us, the focus in HR is more on the Human than the Resources\n\nCasual Friday morning tea and early evening nibbles and drinks are on us\n\nYou choose your weapon: either a MacBook Pro or a Windows workstation\n\nYour mobile subscription is on us\n\nA central office in the heart of Ponsonby and Grey Lynn\n\nIf you’ve got a dog, bring it to the office!\n\nAccess to Azure certification trainings and exams","description_format":"text","description_chars":8331,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Apple Macbook"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile App Development Services","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-10T23:01:32Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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