{"id":23320,"url":"https://alion.io/job/avomind-data-engineer-mfd","title":"Data Engineer (m/f/d)","company":{"id":6482,"name":"Avomind","domain":"avomind.com","url":"https://alion.io/company/avomind","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":186,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":282,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":149000,"period":"year","method":"role_country_seniority_unknown","sample_n":50},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-06-19T00:00:00Z","employer_posted_date":"2026-06-19","last_verified_at":"2026-09-30T13:42:17Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":103},"description":"What client look for:\nYou design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions.\nYou ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases.\nYou collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. \nYou develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance.\nYou take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement.\nYou leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems.\nYou develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment.\nYou actively contribute to the evolution of our data strategy, tooling, and best practices within Client.\nRequirements\nWhat the client requires:\nYou hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field.\nYou have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.\nYou have hands-on experience in building and managing ETL/ELT pipelines and data workflows.\nYou are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).\nYou are familiar with containerization and workflow orchestration tools such as Docker and Airflow.\nYou have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.\nYou understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).\nYou ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.\nYou ensure data quality, observability, and monitoring as integral parts of your solutions.\nYou enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients.\nYou are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work.\nYou have strong communication and presentation skills, and can explain complex topics clearly.\nYou speak English fluently; regional languages are an advantage.\nBenefits\nWhat you can expect:\nYour impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.\nYour hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.\nYour development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader!\nYour working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. \nYour view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. \n Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.","description_format":"text","description_chars":3873,"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":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-06-19T00:00:00Z"}],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.446,"p_room":0.72,"age_days":103,"expected_fill_days":282,"reasons":["conf:5","agency","win:mid","crowd:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/avomind-data-engineer-mfd","json_url":"https://alion.io/job/avomind-data-engineer-mfd.json","meta":{"generated_at":"2026-10-01T01:50:00Z","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":1336,"day_limit":5000,"remaining_today":3664,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}