{"id":30599,"url":"https://alion.io/job/scalable-gmbh-senior-data-engineer-mfx","title":"(Senior) Data Engineer (m/f/x)","company":{"id":3485,"name":"Scalable Capital","domain":"scalable.capital","url":"https://alion.io/company/scalable-gmbh","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"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":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":131000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"dbt","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Flink","optional":true},{"name":"IAM","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-29T10:31:12Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-27T22:39:27Z","board_verified":true,"closed_at":null,"days_open":90,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":90},"description":"Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €50 billion to the platform.\nFounded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.\nVisit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.\nOur Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).\n As a (Senior) Data Engineer in our data engineering tribe spanning over data platform, analytics, and regulatory reporting teams, you play a crucial role in owning our data stack. You will be instrumental in building and maintaining robust data pipelines, making critical data available to various stakeholders throughout the company, and contributing to our data-driven culture.\nDevelop the scalable, cloud-based data platform essential to our data-driven company, leveraging the most up-to-date data technologies\nShape an AWS-based data processing solution, ingesting data from our internal backend services as well as from third parties\nExtend our lakehouse integrating data for regulatory use cases and empowering various teams in decision-making, driving innovation, performance optimization, and strategic objectives\nPrepare and clean structured and unstructured data and develop high-quality data models for reporting, advanced analytics, and AI use cases\nDesign and implement testing and monitoring components to ensure the accuracy, reliability, and performance of data pipelines\nCollaborate closely with highly ambitious and skilled people in our growing data teams, as well as product & engineering colleagues to release smart features for our products\nStay up to date with the latest industry developments in data engineering and cloud architecture and share your expertise best practices within the company\n University degree in computer science, mathematics, natural sciences, or a similar field\nSignificant experience in data engineering\nHands-on experience designing and operating data pipelines in AWS with services like S3, Athena, DMS and Glue\nExcellent SQL skills, including advanced concepts such as window functions, experience with dbt is a plus\nAdvanced knowledge about cloud networking & security (AWS IAM, VPC, Security Groups, ...)\nProficient and experienced with Infrastructure as Code, ideally Terraform\nStrong programming skills in Python, ideally including Airflow and data processing frameworks such as PySpark\nExperience with data streaming technologies like Kafka, Kinesis, Flink and Spark Streaming is a plus\nStrong problem-solving and organizational skills\nInterest in financial services and markets\nFluent English communication and presentation skills\n Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers\nWork with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients\nBe productive with the latest hardware and tools\nLearn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget \nLearn and experience German culture first hand by joining our free German language classes\nInternational relocation support is provided if required \nOpportunity to work from abroad\nBenefit from an attractive compensation package and from the company pension scheme\nMonthly contribution of 50% for the ‘Deutschland Jobticket’\nSay goodbye to order commissions and say 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