{"id":1592324,"url":"https://alion.io/job/matchtech-data-engineer-2","title":"Data Engineer","company":{"id":2073484,"name":"Matchtech","domain":"matchtech.com","url":"https://alion.io/company/matchtech-com","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bristol, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":50000,"max":50000,"currency":"GBP","period":"year","gross":null,"usd_annual":66169},"salary_estimate":null,"experience_years_min":null,"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":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Microsoft Fabric","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-03T11:14:43Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Our client, a leading organisation within the technology sector, is seeking a Data Engineer to join its team on a permanent basis. The role will focus on designing and maintaining scalable Azure data platforms, developing robust data pipelines and supporting data-driven solutions across the business.\nKey Responsibilities:\nDesign, develop and maintain scalable data pipelines and integration solutions using Azure.\nBuild and optimise ETL and ELT processes with Azure Data Factory, Databricks and Synapse Analytics.\nManage and enhance data lakes, data warehouses and storage solutions, including Azure Data Lake Storage.\nDevelop and optimise SQL queries, data models and database objects for performance and scalability.\nEnsure data quality, security, governance and compliance with organisational standards.\nImplement CI/CD practices and support deployment automation through Azure DevOps or GitHub.\nMonitor, troubleshoot and resolve data platform and pipeline issues.\nCollaborate with stakeholders, analysts and developers while maintaining technical documentation, data dictionaries and operational procedures.\nJob Requirements:\nExperience in Data Engineering, database development or data integration, with hands-on knowledge of Microsoft Azure data services.\nStrong experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics and Azure Data Lake Storage.\nAdvanced SQL development and performance tuning skills, including experience with Azure SQL Database and SQL Server.\nProficiency in Python, PySpark, Scala and Spark for data processing and distributed computing.\nUnderstanding of data warehousing concepts, dimensional modelling and ETL/ELT frameworks.\nKnowledge of data quality, data governance, metadata management and data security principles.\nExperience with CI/CD pipelines using Azure DevOps or GitHub, along with an understanding of cloud architecture.\nA bachelor's degree in Computer Science, Information Technology, Data Engineering or a related discipline; Microsoft Azure certifications such as DP-203 or AZ-900 would be advantageous.\nDesirable Skills:\nExperience with Microsoft Fabric and Azure Database services.\nKnowledge of big data technologies, streaming solutions and modern data architecture patterns.\nRelevant Microsoft certification, such as Azure Data Engineer Associate, Azure Fundamentals or Azure Database Administrator Associate.\nBenefits:\nPermanent opportunity within a forward-thinking technology environment.\nAccess to professional development and Microsoft Azure training opportunities.\nOpportunity to work with modern cloud data platforms and large-scale data solutions.\nCollaborative working environment with opportunities to contribute to continuous improvement initiatives.\nIf you are an experienced Data Engineer with expertise in Azure, Databricks, Spark, SQL, Scala and Python, apply now to develop your career while delivering innovative data solutions.","description_format":"text","description_chars":2918,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T16:31:03Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.52,"p_room":1,"age_days":19,"expected_fill_days":90,"reasons":["conf:9","agency","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":66169,"is_top_pay":false},"html_url":"https://alion.io/job/matchtech-data-engineer-2","json_url":"https://alion.io/job/matchtech-data-engineer-2.json","meta":{"generated_at":"2026-10-04T00:57:44Z","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":1244,"day_limit":5000,"remaining_today":3756,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}