{"id":4270941,"url":"https://alion.io/job/engelhart-software-engineer-data","title":"Software Engineer, Data","company":{"id":673801,"name":"Engelhart","domain":"engelhart.com","url":"https://alion.io/company/engelhart","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"work_mode":"on_site","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":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"ClickHouse","optional":true},{"name":"JavaScript","optional":true},{"name":"Presto","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-13T15:43:57Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T17:49:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nEngelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified - giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies.\nIn 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition.\nOur talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship.\nAbout the Role\nAs a member of the Data team, you will help build the services, infrastructure, and data platforms that power our business. Our team is responsible foringesting, processing, storing, and distributing large volumes of data reliably and efficiently, enabling teams across the business to make data-driven decisions and build innovative products. \nThis role sits at the intersection of backend software engineering and data engineering, with an emphasis on data engineering. You will build and maintaindata pipelines, develop backend services for data ingestion and access, and contribute to the data infrastructure that enables reliable, cost-effective, and high-performance data processing. \nYou'llwork closely with software engineers, DevOps engineers, product managers, data consumers, and more experienced colleagues, who will provide guidance, code reviews, and support as you grow. While the role involves technical collaboration across the organization, it is primarily focused on engineering rather than stakeholder management. \nWe are a trading company, so business requirements change quickly,and priorities can shift. We are looking for someone who enjoys solving technical problems, takes ownership of their work, is eager to learn, and makes pragmatic engineering decisions in a dynamic environment. \nResponsibilities \nBuild and maintainreliable data pipelines and ingestion workflows for structuredand unstructureddata from a variety of internal and external sources, including fetching data from external providers.\nDevelop and maintainbackend services and APIs (e.g., FastAPI) that support data ingestion, processing, and distribution, including asynchronous ingestion at scale.\nTransform and process data using Python and Pandas.\nContribute to reusable frameworks and tooling that simplify onboarding new data sources and improve developer productivity.\nWork with data lakes, analytical and relational databases, and contribute to their design and optimization together with senior colleagues.\nHelp catalogueand document the data we own so it can be discovered and used by others.\nHelp improve the reliability, scalability, observability, and cost-efficiency of our data infrastructure.\nIntegrate data across multiple systems while reducing duplication and ensuring high data quality.\nContribute to orchestration workflows and automated data processing pipelines.\nBuild internal libraries and services that enable other engineering teams to access and consume data efficiently.\nMonitor, troubleshoot, and fix issues in production systems and data pipelines, escalating when needed.\nParticipate in architecture discussions and technical decisions across the data platform.\nCollaborate with software engineers, DevOps engineers, product managers, and data consumers to deliver high-impact solutions.\nBuild and maintainsimple internal self-service tools, occasionally including a user interface.\nUse AI coding assistants (e.g., GitHub Copilot) responsibly to speed up development, while remainingaccountable for the design, correctness, and quality of your code.\nIdentifyopportunities to simplify systems, improve automation, and reduce operational overhead. \nAbout You \nThe following education, experience, and skills are essential for this role: \nBackground in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.\nAround 2+ years of professional experience in data engineering or backend development, with a focus on data pipelines and data-intensive systems.\nProfessional experience developing applications and services using Python, including data processing with Pandas or similar libraries.\nExperience building or working with data pipelines (ETL/ELT) or data processing systems.\nSolid SQL skills and experience working with relational databases (e.g., PostgreSQL, SQL Server).\nExperience building RESTful APIs and backend services.\nFamiliarity with containerized applications (e.g., Docker) and basic software delivery practices such as Git and CI/CD.\nHands-on grounding in software engineering fundamentals: software design principles, programming paradigms, testing, and maintainability. You must be able to write, read, debug, and reason about code yourself.\nExperience using AI coding assistants (e.g., GitHub Copilot) as a tool to work faster, including prompting them effectively and critically reviewing their output. AI supports your work; it does not replace your own engineering judgement.\nAbility to work in a fast-paced environment with changing requirements, and to make pragmatic trade-offs.\nGood problem-solving and analytical skills.\nAbility to work independently on well-defined tasks while collaborating effectively within a team, and to ask for help when needed.\nOwnership mentality and willingness to learn and take on more responsibility over time.\nGood communicationskills and fluent English.\nIdeally, you have worked in a trading or similarly fast-moving business environment, such as commodities, financial services, or renewable energy.\nThe following experience is desirable (not required): \nExperience with cloud platforms, preferably AWS (e.g., S3, Glue, Athena, SQS, Lambda, ECS, CloudWatch).\nExperience with analytical databases or query engines such as ClickHouse, Athena/Presto, or similar.\nFamiliarity with data lake or data warehouse concepts and file formats such as Parquet.\nExperience with workflow orchestration tools such as Airflow.\nExperience building services using FastAPIor similar modern Python frameworks.\nFamiliarity with messaging and asynchronous processing patterns, or streaming platforms such as Kafka.\nExposure to Infrastructure as Code and cloud-native architectures.\nInterest in distributed systems and high-throughput data processing.\nExposure to observability, monitoring, and performance tuning.\nExperience working in Agile software development environments.\nExperience with frontend development (e.g., JavaScript/TypeScript, React) for building internal tools.\nWhat we offer\nCompetitive compensation and participation in Engelhart’s discretionary bonus plan.\n28 days of annual holiday entitlement plus Berlin public holidays.\n€3,000 per year contribution to a private pension scheme on your behalf.\n€20 monthly subsidy towards BVG tickets.\n€25 monthly subsidy towards ClassPass membership.\nA subsidy for German language courses to help you immerse yourself in the local culture.\nA sociable working environment with an open, international culture.\nWe believe in inclusivity and are therefore dedicated to ensuring all employees - across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more - feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.","description_format":"text","description_chars":8101,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"German","level":"All levels","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-13T17:49:02Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":16,"reasons":["conf:2","win:early","comp:junior"],"computed_at":"2026-11-13T20:09:08Z"},"pay":null,"html_url":"https://alion.io/job/engelhart-software-engineer-data","json_url":"https://alion.io/job/engelhart-software-engineer-data.json","meta":{"generated_at":"2026-11-13T20:09:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":40155,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":673801},"rest":"https://alion.io/mcp/rest/get_company?id=673801"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fengelhart-software-engineer-data"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fengelhart-software-engineer-data"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fengelhart-software-engineer-data"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/engelhart-software-engineer-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fengelhart-software-engineer-data"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4270941}},{"tool":"search_jobs","arguments":{"company":"engelhart.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4270941},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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