{"id":3744402,"url":"https://alion.io/job/engelhart-data-engineer-finance","title":"Data Engineer, Finance","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":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Polars","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-11-04T11:54:29Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T03:16:01Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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 Data Engineer within Engelhart's Finance department, you will build and operatereliable data pipelines connecting the data warehouse and CTRM platform with brokers and Futures Commission Merchants (FCMs), margin and collateral processes, and the wider Finance technology stack. You will help automate manual Finance workflows into tested, monitoredjobs, with robust reconciliations and controls that give stakeholders confidence in the completeness and accuracy of financial data. \nThis will be a full-time role based in our London office and owning the following responsibilities: \nBuild, operate and maintain data pipelines between the data warehouse, CTRM platform, brokers and FCMs, margin and collateral processes, and Finance systems. \nIntegrate data from the Finance stack, including P&L and F+, SAP General Ledger, Accounts Payable and Accounts Receivable, and bank statements. \nAutomate manual Finance processes by developing reliable, tested and monitored jobs that can be operated and supported effectively. \nImplement reconciliations and data controls to identify missing or incomplete records, duplicates and breaks, and produce clear exception and break reporting. \nIngest and process external files and feeds, including data received over SFTP and in formats such as CSV and XML. \nInvestigate data and reconciliation issues, trace discrepancies through source systems and pipelines, and explain P&L or cash breaks to relevant Finance stakeholders. \nDevelop and maintain serverless ETL solutions on AWS, using infrastructure as code and CI/CD practices to support consistent, controlled releases. \nApply strong SQL and Python-based data processing to transform, validate and reconcile data accurately and efficiently. \nWork with Finance and technology stakeholders to understand requirements, improve existing workflows and deliver maintainable solutions with appropriate controls. \nContribute to improving the reliability, observability and quality of Finance data flows as the business and its systems evolve. \nAbout You \nYou will be a practical, analytical data engineer who combines strong software engineering skills with an understanding of Finance processes and controls. You can work with varied data sources, investigate discrepanciesand explain the cause of a P&L or cash break clearly. You take ownership of the reliability of the jobs you build and look for opportunities to simplify and automate manual processes. \nAs a result, we believe the following experiences and skills are essential for application: \nStrong Python development skills, including experience with Pandas and/or Polars, NumPy, and automated testing with pytest. \nHands-on experience building AWS serverless ETL pipelines, using services such as Lambda, EventBridge, ECS/Fargate, DynamoDB, CloudWatch and S3. \nExperience with AWS Cloud Development Kit (CDK), infrastructure as code and CI/CD pipelines. \nExperience building APIs using Python frameworks, preferably FastAPI. \nStrong SQL skills, including the ability to query, transform, validate and reconcile data. \nExperience ingesting external files and data feeds, including SFTP transfers and formats such as CSV and XML. \nGood understanding of Finance processes and data, with the analytical skills to investigate and clearly explain a P&L or cash break. \nA disciplined approach to testing, monitoring, reconciliation and control design, including checks for completeness, duplicates and exceptions. \nStrong problem-solving skills and attention to detail, with the ability to trace issues across systems and data pipelines. \nClear communication skills and the ability to work effectively with Finance and technical stakeholders. \nThe following experience is not required, but highly desirable for this role: \nExperience using Kafka from Python. \nExperience integrating with SAP or treasury systems. \nExposure to trading data, including positions and P&L. \nFamiliarity with dbt and/or Airflow. \nWhat we offer \nCompetitive compensation and participation in Engelhart’s discretionary bonus plan. \n25 days of annual holiday entitlement, excluding UK public holidays. \nRobust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company. \nEligibility to receive external and internal training in accordance withour Training & Development Policy. \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":6023,"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":[]},"benefits":["Life insurance"],"hiring_locations":[],"hiring_excludes":[{"name":"United Kingdom","iso":"GB"}],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-04T12:43:40Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":16,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/engelhart-data-engineer-finance","json_url":"https://alion.io/job/engelhart-data-engineer-finance.json","meta":{"generated_at":"2026-11-08T06:49:27Z","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":14816,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-data-engineer-finance"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-data-engineer-finance"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-data-engineer-finance"},{"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-data-engineer-finance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fengelhart-data-engineer-finance"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3744402}},{"tool":"search_jobs","arguments":{"company":"engelhart.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3744402},"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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