{"id":1572669,"url":"https://alion.io/job/signify-technology-data-engineer","title":"Data Engineer","company":{"id":2031272,"name":"Signify Technology","domain":"signifytechnology.com","url":"https://alion.io/company/signifytechnology","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":68,"open_postings":78,"ghost_share":0.526,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":["BG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":77000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Agile","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Git","optional":true},{"name":"Power BI","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-07-29T17:12:29Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-04T22:31:32Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":66},"description":"Job title: Senior Data Engineer\nJob type: Contract\nContract Length: 12 Months\nRate: 200 Euros per day\nRole Location: Bulgaria Fully Remote\nRole and Responsibilities:\nDesign, develop, and maintain scalable ETL/ELT pipelines across enterprise systems, including ERP, CRM, and operational platformsBuild and support ICC's cloud-based data lakehouse architecture, aligned with medallion layer standards and governance requirementsDevelop and maintain data models, semantic layers, and curated datasets to support analytics and business intelligenceTranslate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholdersEnsure data quality, integrity, and security in line with ICC's data governance and compliance standardsOptimize SQL queries, data pipelines, and storage performance across AWS and Azure platformsSupport data integration initiatives, including Data Lake, D365 ERP, and CRM/AMS platformsMonitor pipeline health, troubleshoot issues, and ensure the high availability and reliability of data systemsContribute to the continuous improvement of data architecture, standards, and best practicesSupport AI and analytics initiatives by enabling access to high-quality, reliable data for downstream useJob Requirements:\nBachelor's degree in Computer Science, Information Systems, or a related field4+ years of experience in data engineering or data platform developmentStrong experience designing and building ETL/ELT pipelines in cloud environmentsHands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS)Strong proficiency in SQL and relational database designSolid understanding of data warehousing, data lakes, and lakehouse architectureExperience processing structured, semi-structured, and unstructured dataExperience with data modeling, data quality, and performance optimizationStrong analytical, problem-solving, and communication skillsNice to have\nExperience with medallion/lakehouse architecture patternsExperience working in multi-cloud environments (AWS and Azure)Experience with Databricks, Spark, or Azure FabricExperience with Power BI or other enterprise reporting platformsFamiliarity with AI/ML data enablement tools and concepts (e.g., AWS Bedrock, RAG)Experience with Git, Azure DevOps, and CI/CD practicesUnderstanding of Agile methodologies and the SDLCAccessibility Statement:?\nWe make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.?? ?\nOur Commitment to Diversity, Equity, and Inclusion:\nSignify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.??\nCheck out our DE&I page here","description_format":"text","description_chars":2872,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"Bulgaria","iso":"BG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Human Resources","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-10-01T08:34:22Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.25,"p_room":0.28,"age_days":66,"expected_fill_days":23,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/signify-technology-data-engineer","json_url":"https://alion.io/job/signify-technology-data-engineer.json","meta":{"generated_at":"2026-10-05T00:26:55Z","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":431,"day_limit":5000,"remaining_today":4569,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}