{"id":2730558,"url":"https://alion.io/job/nasstar-senior-data-engineer","title":"Senior Data Engineer","company":{"id":172343,"name":"Nasstar","domain":"nasstar.com","url":"https://alion.io/company/nasstar","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":132000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-15T17:48:26Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T21:53:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and managing new data technology infrastructure. You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling.\nThe role is 100% remote.\nKey Responsibilities\nDesign, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.\nCollaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.\nDevelop data models and schemas to support efficient data storage and retrieval.\nImplement data quality and validation processes to ensure the accuracy and consistency of data.\nOptimize data processes and queries for performance and scalability.\nCollaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.\nWork closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.\nImplement data governance and security controls to ensure data privacy and compliance with regulations.\nStay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.\nSkills, Knowledge and Expertise\nExcellent understanding of Azure data tools, especially Databricks\nProven experience as a Data Engineer, working with Azure data services.\nStrong understanding of data modeling concepts and relational and non-relational databases.\nProficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks).\nExperience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage).\nFamiliarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.\nKnowledge of data governance and data security best practices.\nStrong problem-solving skills and attention to detail.\nExcellent communication and collaboration skills to work effectively within a team environment.\nExperience with Agile methodologies is a plus.\nComfortable problem solving alone as well as part of a team.\nConfident reaching out to stakeholders and colleagues in order to solve problems and understand issues.\nHappy in a remote working environment.\nKeen interest in new technologies and learning about them.\nBenefits\nCompetitive salary and compensation package.\n Exclusive access to AWS & Databricks certifications, training, and partner tools.\nRemote work with regular team socials.\nWork with a highly experienced, motivated team of experts in Cloud, Big Data and Machine Learning.","description_format":"text","description_chars":2910,"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":[],"hiring_locations":[{"name":"United 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