Senior Data Engineer

Ontic

Senior Data Engineer at Ontic responsible for data architecture, governance, and engineering. Collaborates with global teams across Aerospace, Engineering, and Manufacturing sectors.

Posted 7/16/2026full-timeTewkesbury • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data warehousing, data modeling, and data governance, with a strong focus on Snowflake and BI reporting tools. Capable of translating complex data insights into actionable strategies while ensuring data quality and compliance with security standards.

Highest-signal resume keywords

Snowflake Data Warehouse AdministrationSQL ProgrammingData Modeling Using Kimball TechniquesBI Reporting Tools (Power BI)Data Governance and Compliance (CCPA, GDPR)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingData ModelingSQLELT Pipeline DevelopmentData AnalysisData TransformationData GovernanceData Quality AssuranceDashboard DevelopmentData Documentation

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsMulti-TaskingProactive Work Ethic

Tools & Technologies

SnowflakeDBTPower BIFiveTranMicrosoft FabricGitHubOpenAI CodexSnowflake CortexSnowflake IntelligenceDynamics 365

Industry Keywords

AerospaceEngineeringManufacturingData SecurityPII Data Handling

Tech Stack

Tools & technologies

CloudERPETLSDLCSQL

About the role

Key responsibilities & impact

Perform exploratory data analysis on a range of complex business problems.
Interpret business processes into data requirements.
Define and enforce key data attribute governance strategies.
Act as geographical data leader, reporting directly to the Data Architecture Manager.
Collaborate on data team initiatives impacting Ontic’s global strategic pillars.
Administer and maintain the Snowflake Data Warehouse.
Devise and maintain data engineering development standards in line with best practice.
Contribute to data pipelines that clean, transform and aggregate data from disparate data sources into reporting data stores.
Provide input on the company data strategy by suggesting and proving new technologies and innovations.
Contributing to the translation of data into valuable insights that inform data driven decisions.
Develop dashboards and reports to present data insights to stakeholders around the business.
Support end-user technical questions and assist in data education.
Host on-site data quality clinics.
Participate in and audit data governance activities.

Requirements

What you’ll need

Proven experience of administering and working in a Data Warehouse (experience of Snowflake highly preferred)
Ability to influence a team of technical and non-technical stakeholders
Experience building data models and flows from various sources using Kimball Dimensional Modelling techniques.
Proven knowledge of data warehousing and data modelling principles.
Experience of DBT
Strong SQL programming experience in a commercial setting.
Experience of using BI reporting tools (i.e. Power BI) with an ability to develop reports and dashboards.
Awareness and familiarity with AI tool and technologies – preference for tools such as OpenAI Codex, Snowflake Cortex, Snowflake Intelligence
Experience of administering, creating, and maintaining data pipelines in an ELT application that cleans, transforms, and aggregates data from disparate data sources into reporting data stores.
Experience documenting ELT specifications such as source to target mappings, business rules and data validation requirements, ETL functional and non-functional requirements.
Strong analytical and problem-solving skills with a keen attention to detail.
Excellent oral and written communication skills for translating data insights into concise executive summaries and presentations.
Ability to present findings in a structured, clear manner with actionable insights.
Possess ability to both multi-task and manage priorities effectively with the ability to work proactively and independently in meeting stakeholder needs whilst adhering to tight deadlines.
Appreciation of data security, CCPA, GDPR and PII data handling principles.
A willingness to be utilised as a developer across other enterprise applications.
Experience of working in the Aerospace, Engineering, Manufacturing sectors
Experience with below toolset preferred: Snowflake cloud platform, Dbt, FiveTran, Precog, Microsoft Fabric/Power BI Analytics, GitHub, SDLC, Kimball Dimensional Modelling, Dynamics 365 Backend, Infor Syteline and/or Infor Visual ERP Backend, SQL

Benefits

Comp & perks

Up to 29 days annual leave + bank holidays
10 hours paid volunteering time
Annual goal share bonus scheme for all employees
24/7 Employee Assistance Program (EAP)
Discounts and offers from a range of retailers