{"id":57330,"url":"https://alion.io/job/general-atlantic-data-engineer","title":"Data Engineer","company":{"id":14952,"name":"General Atlantic","domain":"generalatlantic.com","url":"https://alion.io/company/general-atlantic","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":142,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":129000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-02-06T11:33:32Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T02:18:47Z","board_verified":true,"closed_at":null,"days_open":252,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":252},"description":"About General Atlantic\nGeneral Atlantic is a leading global investor with more than four and a half decades of experience providing capital and strategic support for over 885 companies throughout its history. Established in 1980, General Atlantic continues to be a dedicated partner to visionary founders and investors seeking to build dynamic businesses and create lasting value. Guided by the conviction that entrepreneurs can be incredible agents of transformational change, the firm combines a collaborative global approach, sector specific expertise, a long-term investment horizon, and a deep understanding of growth drivers to partner with and scale innovative businesses around the world. The firm leverages its patient capital, operational expertise, and global platform to support a diversified investment platform spanning Growth Equity, Infrastructure, and Strategic Solutions. General Atlantic manages approximately $126 billion in assets under management, inclusive of all strategies, as of March 31, 2026, with more than 900 professionals in 20 countries across five regions. For more information on General Atlantic, please visit www.generalatlantic.com.\nAbout Actis\nIn October 2024, General Atlantic acquired Actis, which now operates as its Sustainable Infrastructure business alongside its existing strategies in Growth Equity, Credit, and Climate. Actis is a leading global investor in sustainable infrastructure, delivering competitive returns for institutional investors and measurable positive impact for the countries, cities and communities in which it operates. Actis invests in structural themes that support long-term, equitable growth in defensive, critical infrastructure across energy transition, digitalization transition, and supply chain transformation. The firm’s decades of global experience, operational know-how and strong culture allows it to create global sustainability leaders at scale. Since inception, Actis has raised $26 billion to invest in a better tomorrow. Actis is a signatory to the United Nations backed Principles for Responsible Investment (UNPRI), an investor initiative developed by the UNEP FI. The firm has consistently been awarded the highest rating score in the UNPRI independent assessment. You can learn more about Actis at www.act.is.\nKey Purpose of Role\nGeneral Atlantic is seeking an Associate-level Data Engineer to join the Data Strategy team. This role will report to the Senior Vice President, Head of Data Engineering, and will work closely with senior data engineers, product managers, infrastructure, security, and application development teams.\nThis role will support the design, development, and maintenance of cloud-based data pipelines, integration frameworks, and self-service data platforms. This role is ideal for a technically strong, highly curious engineer who is eager to grow their expertise in modern data engineering tools and best practices while contributing to enterprise-grade data solutions.\nKey Responsibilities (this list is not exhaustive)\n Data Integration & Preparation\nSupport the design, development, and maintenance of cloud-based data ingestion and integration pipelines\nBuild and maintain ETL / ELT workflows using Python, SQL, Spark, and Databricks\nAssist in integrating data from heterogeneous sources including SaaS platforms, APIs, databases, and cloud applications\nContribute to the development of reusable data integration components and frameworks\nMonitor data pipelines, troubleshoot issues, and support production operations\nData as a Service\nAssist in the development of centralized data services and APIs that enable downstream consumption by analytics, reporting, and application teams\nSupport the creation and maintenance of logical data models and service-layer abstractions\nParticipate in building batch and near-real-time data processing workflows\nContribute to modernization initiatives migrating legacy data processes to cloud-native solutions\nSelf-Service Data Platform\nHelp prepare curated datasets for use in data lakes, enterprise data hubs, and data warehouses\nWork with senior engineers to support scalable, performant data storage and compute solutions using Databricks and cloud data services\nEnable reliable data access for analytics, reporting, and data science use cases\nData Design & Development\nDevelop and maintain SQL objects, data models, and transformations\nWrite clean, maintainable Python code for data processing and orchestration\nParticipate in code reviews, testing, and documentation to ensure data quality and reliability\nWhile this role description is intended to be an accurate reflection of the job requirements, Actis reserves the right to modify, add, or remove duties from particular roles and assign other duties as necessary.\nKnowledge\nBackground & Experience\nBachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience\n2-4 years of experience in data engineering, analytics engineering, or a related technical role\nExposure to financial services or enterprise data environments is a plus\nTechnical Skills\nProficiency in Python and SQL\nHands-on experience with modern data platforms such as Databricks, Snowflake, or similar\nFamiliarity with cloud data services (Azure preferred) including data lakes, data warehouses, and orchestration tools\nExperience working with structured and semi-structured data from APIs, SaaS platforms, and databases\nUnderstanding of ETL / ELT concepts, data modeling, and pipeline monitoring\nExposure to BI tools such as Power BI or Tableau is a plus\nProfessional Skills\nStrong problem-solving skills and attention to detail\nAbility to learn new technologies quickly and adapt in a fast-paced environment\nComfortable working collaboratively within cross-functional teams\nClear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders\nGeneral Atlantic offers a robust reward program to all employees that will support you and your family, maintaining fulfilling, secure and healthy lives now and into the future, which includes but is not limited to medical insurance, retirement savings contributions, mental and physical health resources and an equal pay program. Additional reward programs, such as annual discretionary bonuses and long-term incentive programs, are available for eligible employees and are offered as recognition for performance and one’s contributions towards the organization’s success.\nGeneral Atlantic is an equal opportunity employer and does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.\nBy completing this application, you are consenting to General Atlantic’s processing and use of your personal data. 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