{"id":2313707,"url":"https://alion.io/job/ey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting","title":"Senior Associate/Manager Data Engineer Consultant (Data Bricks) / Technology Consulting","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":139000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-12T02:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-28T01:51:10Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.\nWe work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.\nWe’re all in, are you?\nJoin EY and shape your future with confidence.\nThe opportunity\nEY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. You will be part of a dynamic team that implements information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We are seeking an experienced Data Engineer Consultant to join our team as a senior individual contributor\nresponsible for designing, implementing, and optimising robust data infrastructure and pipelines. This role offers the opportunity to work hands-on with cutting-edge AWS and Databricks technologies whilst providing technical guidance to team members and collaborating with stakeholders across the organisation on complex data engineering challenges.\nYour key responsibilities\n1) Data Architecture & Engineering\nDesign and implement enterprise-scale data architectures, including data lakes, warehouses, and real-time streaming platforms.\nDevelop and maintain ETL/ELT pipelines that efficiently process large volumes of structured and unstructured data from diverse sources.\nEnsure data quality, governance, and security standards are embedded throughout all data engineering processes. \n2) Technical Implementation\nHands-on development of Databricks notebooks using PySpark, Python, and SQL for ETL automation.\nCreate and optimise PySpark scripts for efficient data extraction, transformation, and loading from large datasets.\nImplement custom data manipulation, validation, and error handling solutions to enhance ETL robustness. \n3) Technical Guidance\nProvide technical mentorship to junior data engineers and analysts.\nLead code reviews, establish best practices, and drive adoption of modern data engineering tools and methodologies.\nCollaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver integrated solutions. \n4) Performance & Optimisation\nMonitor and optimise data pipeline performance, implementing solutions for scalability and cost-effectiveness.\nConduct testing, debugging, and troubleshooting of data transformation processes.\nVerify data integrity throughout pipeline stages and resolve complex technical issues. \nTo qualify for the role, you must have\nBachelor's Degree in Computer Science, Engineering, Data Science, or related field OR Master's Degree in Data Engineering, Computer Science, or MBA (preferred) \n5-7 years of data engineering experience with AWS-native implementations\nProven experience working as part of a data engineering team on ETL migration projects\n Hands-on experience implementing Databricks notebooks using PySpark, Python, and SQL for ETL automation\nDemonstrated expertise developing PySpark scripts for efficient data extraction, transformation, and loading from large datasets\nExperience utilising Python for custom data manipulation, validation, and error handling in ETL processes\nProficiency employing SQL for complex joins, aggregations, and database operations within Databricks environments\nTrack record of testing, debugging, and optimising data transformation processes for accuracy and performance \nExperience verifying data integrity throughout pipeline stages and resolving troubleshooting issues\nProven ability collaborating with cross-functional teams to align ETL migration tasks with project goals and deadlines\nExperience in government sector data projects and compliance requirements (preferred)\nExperience in HR domain including workforce analytics, payroll systems, and employee data management (preferred)\nExperience providing technical mentorship to junior team members (preferred) \nCertified in:AWS Certified Data Engineer - Associate (preferred) \nAWS Certified Solutions Architect or AWS Certified Big Data - Specialty (preferred)\nDatabricks Certified Data Engineer Associate or Professional\nAmazon Redshift or Snowflake certifications\nAgile/Scrum Master certification (preferred) \n\nEssential Skills:\n1) Technical Skills:\nAWS cloud platform expertise (Redshift, S3, Glue, EMR, Kinesis, Lambda)\nDatabricks platform proficiency with PySpark, Python, and SQL implementation \nData warehouse design and implementation (Amazon Redshift, Snowflake on AWS) \nETL/ELT migration project experience and pipeline development \nReal-time streaming technologies (Kinesis Data Streams, Kafka) \nData exchange platforms and API integration (AWS Data Exchange, Partner APIs) \n2) Communication Skills:\nClear written and verbal communication of technical concepts to non-technicalstakeholders \n\nPresentation and reporting abilities for executive audiences \nActive listening to understand business requirements \nStakeholder management across technical and business teams \nMeeting facilitation for technical design sessions \n3) Leadership Skills:\nTechnical mentorship and guidance for junior engineers \nConflict resolution in cross-functional project environments\nDecision-making under pressure for critical data system issues\nKnowledge transfer and coaching abilities\nChange management for data platform migrations \n4) Organisational Skills:\nTime management across multiple concurrent data projects \nResource allocation for optimal pipeline performance \nMulti-tasking coordination of data engineering deliverables \nAttention to detail in data quality and governance processes \nDocumentation of technical specifications and system architecture \n5) Problem-Solving Skills:\nCritical thinking for complex AWS data architecture challenges \nCreative solution development for scalability and performance issues \nIssue escalation and resolution for production data systems \nAdaptability to evolving business and technical requirements\nStrategic planning for AWS data infrastructure roadmaps \n6) Interpersonal Skills:\nRelationship building with business stakeholders and technical teams \nNegotiation of technical requirements and project timelines \nEmotional intelligence in managing diverse project teams \nCultural awareness in global data initiatives \nCustomer service orientation for internal data consumers \nWhat we look for\nHighly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.\nWhat working at EY offers\nEY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:\nContinuous learning: You’ll develop the mindset and skills to navigate whatever comes next.\nSuccess as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.\nTransformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.\nDiverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.\nCompany description\nEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.\nEnabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.\nEY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.\nAll in to shape the future with confidence.","description_format":"text","description_chars":8271,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-12T02:55:04Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.837,"p_room":0.9,"age_days":15,"expected_fill_days":24,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/ey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting","json_url":"https://alion.io/job/ey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting.json","meta":{"generated_at":"2026-10-28T03:29:19Z","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":4612,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting"},{"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%2Fey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting"},{"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%2Fey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting"},{"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/ey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-senior-associatemanager-data-engineer-consultant-data-bricks-technology-consulting"}]}