{"id":1339068,"url":"https://alion.io/job/job-mail-senior-cloud-data-engineer-remote","title":"Senior Cloud Data Engineer - Remote","company":{"id":701519,"name":"Job Mail","domain":"jobmail.co.za","url":"https://alion.io/company/job-mail","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":"jobmail.co.za","ats_vendor":"Schema","truth_index":{"grade":"C","score":64,"open_postings":6701,"ghost_share":0.497,"stale_share":0,"repost_share":0.724,"time_to_fill_p50_days":11,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa"],"countries":["ZA"],"hiring_countries":["ZA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":59000,"period":"year","method":"role_seniority_country_cell","sample_n":11},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-27T15:16:21Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T17:01:39Z","board_verified":false,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":19},"description":"Hire Resolve's client is looking for a Senior Cloud Engineer (Remote) to join their dynamic and growing Engineering team.\nThe ideal candidate will have strong expertise in Databricks, Spark, Lakehouse architectures, Delta Lake tables, and other modern data engineering technologies. They should be proficient in T-SQL and Python, with advanced coding abilities, and possess a deep understanding of cloud-based and cloudagnostic data architectures. This is a senior role that requires the ability to lead projects, mentor junior team members, and work independently on complex data engineering challenges.\nRequirements:\nData Engineering & Cloud Solutions\nArchitect, build, and optimize scalable and cloud-agnostic data solutions\nusing Azure, Databricks, Spark, Lakehouse, and Delta Lake tables.\nDevelop, implement, and maintain big data pipelines for ingesting, processing, and\nstoring large volumes of structured and unstructured data.\nManage and optimize data lake and data warehouse architectures for performance,\ncost, and scalability\nCloud & DevOps\nWork within Azure environments (Azure Synapse, Data Factory, ADLS, etc.) to\ndevelop and maintain cloud-based data solutions.\nImplement best DevOps practices for CI/CD pipelines, infrastructure-as-code, and\nautomation.\nUtilize Azure DevOps and Git for managing code repositories, version control, and\ncontinuous integration/deployment.\nEnsure high levels of security, compliance, and data governance across data\nengineering processes.\nBig Data Processing & Development\nUtilize Spark, Databricks, and distributed computing to process and analyse large\ndatasets efficiently.\nWrite advanced Python and T-SQL scripts for data transformations, ETL/ELT\nprocesses, and real-time data processing.\nOptimize performance for data pipelines and SQL queries for efficiency and costeffectiveness.\nExperience with Graph databases is a big advantage\nCollaboration & Leadership\nWork closely with data scientists, analysts, and business stakeholders to understand\ndata requirements and develop solutions that meet business objectives.\nLead initiatives to enhance data engineering capabilities, introduce new\ntechnologies, and drive best practices.\nMentor junior engineers, conduct code reviews, and contribute to building a culture\nof technical excellence.\nCommunicate effectively with technical and non-technical stakeholders, translating\ncomplex data concepts into actionable insights.\nRequirements:\n6+ years of extensive experience.\nEducation / Degrees: Computer science degree or comparable data engineering certification\nin one of the cloud platforms.\nMinimum required skills and experience:\nExtensive experience in cloud-based data engineering, with expertise in Azure (Azure\nSynapse, Azure Data Factory, ADLS, etc.).\nStrong expertise in cloud-agnostic data tools such as Databricks, Spark, Delta Lake, and\nLakehouse architectures.\nAdvanced proficiency in T-SQL and Python for developing complex data pipelines,\ntransformations, and optimizations.\nHands-on experience in big data processing, ETL/ELT, and data pipeline orchestration.\nSolid understanding of data modelling, warehouse design, and data lakehouse architecture.\nExperience in setting up, managing, and processing with Azure DevOps (or similar DevOps\ntools).\nStrong knowledge of DevOps, CI/CD, Git, and infrastructure-as-code for automated\ndeployments.\nExcellent verbal and written communication skills, with the ability to collaborate across\nteams and explain complex data concepts clearly.\nAbility to work independently on high-impact projects while maintaining a team-oriented\napproach.\nInterested applicants should submit their CV to Gaby Turner at  or you may forward your CV directly to the IT Department at ","description_format":"text","description_chars":3769,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"South 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