{"id":2637877,"url":"https://alion.io/job/turner-townsend-data-engineering-consultant","title":"Data Engineering Consultant","company":{"id":4508,"name":"Turner & Townsend","domain":"turnerandtownsend.com","url":"https://alion.io/company/turner-and-townsend","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":628,"ghost_share":0,"stale_share":0.997,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-16T05:45:00Z"}},"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":{"min_usd":81000,"max_usd":184000,"period":"year","method":"role_country_seniority_unknown","sample_n":159},"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":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-15T14:44:08Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T09:30:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Turner & Townsend we’re passionate about making the difference - we are committed to delivering Sustainable Net Zero outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society.\nEvery day we help our major global clients deliver ambitious Net Zero programmes from over 110 offices worldwide.\n Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit a data engineer with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that will enable our clients to extract value from their data assets.\nThe Role\nAs part of the role you will:\nWork with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy\nUnderstand and translate end-user requirements into designs and delivery plans for effective data solutions\nDesign, develop, execute, and maintain highly automated data pipelines using cloud technologies\nAnalyse and resolve data quality issues\nBuild, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team\nIdentify opportunities for improvement and promote theses through the team\nActively mentor and develop others in the team and inspire them through commitment and enthusiasm\nFoster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance\nTake knowledge or experience and translate into new ideas or solutions\nContribute to the development and maintenance of T&Ts documentation and processes\nSkills required for this role are:\nProven ability to work with with:\nDatabricks\nAzure Data Factory\nAzure Data Lake\nAzure Synapse (and data warehousing approaches) or SSIS\nAzure Analysis Services\nExperience in programming languages such as:\nSQL\nPython\nSpark\nDAX\nA good understanding of Devops practices:\nCI/CD (Azure DevOps preferable)\nGIT and Version Control\nExceptional communication skills, both written and verbal - able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.\nDesirable:\nMLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases\nData modelling including Kimball\nContainer technologies such as Kubernetes and Docker\nExperience translating designs of Azure data solutions into action\nAnalysis/requirements gathering, solution design, and implementation of data platform and Azure technologies\nExperience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc.\n Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change.\nWe want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. \nTurner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.\nPlease find out more about us at www.turnerandtownsend.com/\nJoin our social media conversations for more information about Turner & Townsend and our exciting future projects:\nTwitter\nInstagram\nLinkedIn\nIt is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. \nAny unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. 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