{"id":4067704,"url":"https://alion.io/job/pbt-group-senior-aws-data-engineer-contract","title":"Senior AWS Data Engineer (Contract)","company":{"id":177436,"name":"PBT Group","domain":"pbtgroup.co.za","url":"https://alion.io/company/pbt-group","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"B","score":71,"open_postings":21,"ghost_share":0.381,"stale_share":0,"repost_share":0.762,"time_to_fill_p50_days":13,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","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":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-11T00:00:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"SUMMARY:\n\n - \n\n POSITION INFO:\n\n PBT Group is seeking an experienced Senior Data Engineer with strong AWS and Databricks expertise to join a data-focused team. The successful candidate will design, build and optimise scalable data pipelines and platforms that support analytics, reporting and advanced data use cases. Short-term insurance domain experience is a strong advantage. Key Responsibilities Design, develop and maintain robust, scalable data pipelines using AWS and Databricks Build and optimise ETL\\/ELT processes for structured and unstructured data Implement and manage data lakehouse architectures (including Medallion or similar layered approaches) Ensure data quality, reliability, performance and governance across pipelines Collaborate with data scientists, analysts, architects and business stakeholders Contribute to technical design, documentation and best practices Support production deployments, monitoring and troubleshooting of data solutions Mentor junior engineers and contribute to continuous improvement of the data platform Required Skills & Experience Solid experience as a Senior Data Engineer Strong hands-on experience with AWS (S3, Glue, Lambda, EMR, Redshift, IAM, or equivalent services) Strong hands-on experience with Databricks (including Spark, Delta Lake, notebooks, jobs and Unity Catalog) Proficiency in Python and SQL Experience with data modelling, data quality frameworks and pipeline orchestration Familiarity with CI\\/CD, Git and DevOps practices for data solutions Ability to work in Agile environments and collaborate effectively with cross-functional teams Strong problem-solving and communication skills Advantageous Short-term insurance or financial services domain experience Experience with other cloud platforms or modern data tools (e.g. dbt, Airflow, Kafka) Knowledge of data governance, security and cost optimisation on AWS Databricks certifications","description_format":"text","description_chars":1911,"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":["Analytics & BI Consulting","Data Engineering & Migration 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