{"id":3206705,"url":"https://alion.io/job/accenture-senior-data-engineer-4","title":"Senior Data Engineer","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2088,"ghost_share":0.001,"stale_share":0.143,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":94000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Boto3","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Flask","optional":true},{"name":"Flink","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Scala","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T13:35:16Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, Accenture Song - all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 740,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.\nOur Technology Center solves industries and organizations’ most challenging problems with leading-edge technologies. Our Bulgarian Technology team is currently implementing complex global projects in a vast portfolio of industries - e-commerce, retail, insurance, banking, telecommunications, automotive, public sector, travel, and culture.\nWe are currently recruiting for a Senior Data Engineer with solid experienced in data engineering, machine learning and passion about Big Data. You will have the chance to join a newly created team of Data Engineers, Data Scientists and Data Analysts and be part of the growth and development of it, participate in a large variety of exciting and challenging projects and work with our exceptional team of Technology professionals.\nTo keep it short, below are some key responsibilities:\nDevelop, customize, and manage integration tools, databases, warehouses, and analytical systems with the use of data related instruments/instances.\nCreate and run complex queries and automation scripts for operational data processing.\nTest the reliability and performance of each part of a system and cooperate with the testing team.\nDeploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc. \nResponsible for setting up tools to view data, generate reports, and create visuals.\nMonitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.\nMentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.\nSolve complex issues with minimal supervision.\nMake improvement and process recommendations that have an impact on the business.\nTechnology Stack Used & Required Knowledge:\nExcellent understanding of ETL cycle such as AWS Glue with Python for scalable ETL workflows.AWS Glue with Python for scalable ETL workflows.\nExperience in using of Python/ PySpark and/or Scala for data engineering. \nUnderstanding of data types/ handling of different data models. \nDesirable to have experience with Spark, Flink, Kafka, Flask, Apache Airflow\nExperience in AWS Big Data Analytics \nExpertise in utilizing Python libraries and frameworks in conjunction with AWS services such as Amazon Redshift \nExperience utilizing libraries like Boto3 and AWS SDK for Python \nExperience with data visualization tools is a plus (PowerBI, Tableau). \nUnderstanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms is a plus. \nGood scripting and programming skills. \nDeveloping serverless functions with AWS Lambda using Python \nAWS Data Governance and Security is a plus \nAWS Data Pipeline Automation with Python \nExperience with AWS Snowflake.\nThe Rest of the qualities, you know them:\nLeading and organizing teams of various sizes. \nClient Facing Skills \nTravel Availability (short/long term) \nFlexibility in using different technologies/ platforms. \nAbility to shift gears quickly and cope with change. \nAnalytical & Detail Oriented \nConfident, proactive, and self-motivated \nDisciplined and “Team first approach” oriented. \nBenefits:\nEmployee Assistance Program \nCareer Counselling \nAbility for working from home for people on maternity/paternity leave. \nAdditional paid time off \nHybrid working regime. \nOptions to buy shares. \nRelocation Bonus \nLuxury health & dental insurance \nLife insurance \nBonuses for special occasions \nCertification \nFood vouchers \nMultisport cards \nFuel card/Public transport card \nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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