{"id":1485187,"url":"https://alion.io/job/salt-data-engineer-5","title":"Data Engineer","company":{"id":1935342,"name":"Salt","domain":"welovesalt.com","url":"https://alion.io/company/welovesalt","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"C","score":64,"open_postings":1440,"ghost_share":0.603,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"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":{"min":600,"max":null,"currency":"ZAR","period":"hour","gross":null,"usd_annual":74000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-17T00:00:00Z","employer_posted_date":"2026-04-17","last_verified_at":"2026-09-29T22:22:26Z","board_verified":true,"closed_at":null,"days_open":167,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":167},"description":"Back to all jobs\nApplications are now closed.\nData Engineer\nRef: JO-2604-360362\nSouth Africa, Johannesburg \n\nData, AI and Machine Learning, Technology \n\nIT \n\n50 - 249 Employees \n\nZAR 600.00 - ZAR 650.00 per hour \n\nEnvironment:\n\nHybrid \n\nContract Type:\n\nContract \n\nStarts:\n\n2026-06-01 \n\nDuration:\n\n12 months \n\nJob Description\nSummary of Role\nThe purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure of the to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning, streaming, self-service, API and solutions around big data that support the strategy to become a data driven organisation.\nResponsibilities\nResponsible for the day to day maintenance of data pipelines, providing support to the data squads including performing data related tasks (such as data profiling, data cleaning, data configurations, data support, data validation, data quality assurance) in a Data Epic and assisting in basic data pipelines, data ingestion and supporting Data Engineers in their Epics.\nData Infrastructure: Support and maintain the Data Infrastructure to ensure it is secure, available and reliable.\nData Pipeline Build (Ingestion, Provisioning, Streaming and API).\nMaintain data pipelines starting with Data Virtualisation, then progressing to Data Ingestion and finally to Data Provisioning.\nEnsure that data pipelines are monitored and run successfully and configure and support minor changes in data pipelines.\nData Visualisation: Create virtual data bases and assist in creating data extracts for the business in response to business needs.\nDocumentation and Data Analysis: Collaborate with the Data Analyst to perform data profiling, data validation, and data documentation in support of Epics.\nData Warehouse Monitoring and Support: Monitor data pipelines and infrastructure to provide first line support, resolve issues and ensure that the warehouse meets its SLA timelines for data availability and warehouse reliability.\nCloud Monitoring and Support Services: Ensure cloud processes (Compute and Storage) are monitored and managed daily, to ensure that Cloud pipelines run successfully.\nOperations: Support and run daily operational reports to ensure that all jobs ran successfully and that the data warehouse is maintained according to standard.\nCollaboration: Work collaboratively with business stakeholders to gain business knowledge, understand data extracts and improve and optimise business queries.\nQualifications\nMatric and a Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.\n7 years of experience in data engineering or a related discipline.\nStrong experience with SQL and relational database technologies.\nProficiency with ETL/ELT tools and frameworks (e.g., Airflow, DBT, Azure Data Factory, AWS Glue).\nExperience with cloud platforms (Azure, AWS, or GCP).\nKnowledge of big data technologies (e.g., Spark, Hadoop) is advantageous.\nExperience with Python or Scala for data processing.\nSkills\nSQL, Python (required)\nCloud services (Azure/AWS/GCP)\nData warehousing (Snowflake, Redshift, BigQuery, Synapse)\nBig data frameworks (Spark, Databricks)\nVersion control (Git)\nContainerisation (Docker/Kubernetes)\nSalt is acting as an Employment Business in relation to this vacancy.","description_format":"text","description_chars":3620,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-29T22:15:35Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.115,"p_room":0.28,"age_days":166,"expected_fill_days":46,"reasons":["conf:7","agency","stale_co","evergreen","urgency","ghost","win:tail","crowd:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":74000,"is_top_pay":false},"html_url":"https://alion.io/job/salt-data-engineer-5","json_url":"https://alion.io/job/salt-data-engineer-5.json","meta":{"generated_at":"2026-10-01T05:07:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4812,"day_limit":5000,"remaining_today":188,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}