Trilon is building a supercharged, technology-enabled future for our people and partners. The Data Engineer plays a key role in

that mission by building and maintaining the data platform that powers Trilon’s enterprise analytics, automation, and AI

capabilities.

Reporting to the Vice President, Data & DevOps, this role is responsible for designing, developing, and maintaining scalable data

integrations and transformations in Azure and Microsoft Fabric. The Data Engineer ensures that Trilon’s data platform delivers

reliable, high-quality, and well-structured data to support business intelligence, operations, and innovation.

This role serves as the primary custodian of Trilon’s integrated data model and is instrumental in developing a unified,

extensible architecture that scales with continued acquisitions. The Data Engineer designs and builds secure Power BI semantic

models for consumption by analysts and decision-makers, ensuring consistent and governed access to enterprise data. This role also

partners closely with the AI and Innovation vTeam to prepare data for analytics, machine learning, and retrieval-augmented

generation (RAG) applications.

Role

Data Engineer

Similar Jobs

Data Quality Engineer

Unknown Employer•Remote- USA

Trilon is building a supercharged, technology-enabled future for our people and partners. The Data Quality Engineer plays a critical role in that mission by ensuring the data that powers every AI and digital tool is accurate, consistent, complete, and trustworthy. This role owns data quality across the entire Data Platform, defining what good data looks like and ensuring that standard is enforced in practice. You are responsible for building the validation, monitoring, and observability systems that detect issues early and prevent bad data from reaching downstream tools where it erodes trust and usability. You maintain and evolve the enterprise data quality rubric, treating it as a living standard that governs how data is measured and evaluated across all pipelines and domains. You score data quality on a regular cadence and provide clear visibility into platform health, giving leadership an accurate view of where data is strong and where it needs improvement. You work closely with Data Engineers to embed quality checks into every pipeline, and with product and AI teams to understand how data quality issues surface in real tools. When issues arise, you trace them back to the source and resolve them at the pipeline level. This role requires strong data engineering fundamentals, experience building data quality frameworks, and a systematic approach to defining and enforcing standards. You are detail-oriented, structured in your thinking, and motivated by building a data foundation that engineers trust.

Deadline: Aug 17Posted: Jul 18

Data Engineer

Hirely AB•Stockholm

Vill du vara med och forma framtidens hållbara logistik? Som erfaren Data engineer inom Green Cargo får du en nyckelroll i att säkerställa effektiva och innovativa lösningar som håller Sveriges godstransporter rullande. Här får du möjlighet att kombinera teknik, samarbete och strategiskt tänkande i en verksamhet som gör skillnad. Om rollen Du kommer vara en viktig del av vårt agila team som utvecklar och förvaltar Green Cargos analyticsplattform som baseras på primärt Microsoft Azure teknologi. Analytics teamet är spindeln i nätet när det kommer till datainsamling och datahantering. Ditt uppdrag kommer att innebära samarbeten med andra utvecklingsteam samt verksamhetsfunktioner för att förstå behovet. Vi erbjuder Arbeta i en innovativ och transformativ IT-miljö med modern teknik Vara del av ett agilt team med stark kompetens inom analytics Delta i internationella projekt med fokus på datadrivna lösningar Flexibla arbetsformer och goda möjligheter till kompetensutveckling Samarbete med engagerade kollegor som vill göra skillnad BI-utveckling i modern molnmiljö (Azure) Datamodellering och databasutveckling Kravanalys av komplexa dataflöden Utveckling och vidareförädling av dataprodukter Vi söker dig som 3-5 års erfarenhet av Data Engineering och/eller BI-utveckling Erfarenhet av Datamodellering (t ex Kimball eller liknande) Erfarenhet av att jobba med Databricks Erfarenhet av SQL Har en eftergymnasial utbildning inom Systemvetenskap eller liknande Talar och skriver obehindrat på svenska och engelska då arbetsuppgifter kräver det Meriterande Erfarenhet av agila arbetssätt. Erfarenhet av att arbeta med Microsoft molnplattform eller Google Cloud Plattform Erfarenhet av dataintegrationer Övrig information Anställningen är en tillsvidareanställning på heltid med inledande provanställning. Tillträde sker enligt överenskommelse och tjänsten är placerad vid vårt huvudkontor i Stockholm. Som anställd på Green Cargo erbjuds du bland annat: Friskvård kr 3000 kr/år Benify förmånsportal Frivillig gruppförsäkring via Skandia för dig och din familj Ersättning för Läkarvård inom högkostnadsskyddet Föräldralöneutfyllnad (10%) På Green Cargo får du möjlighet att bidra och utveckla hållbar järnvägslogistik och samtidigt förbättra kundupplevelsen. Du blir en del av ett miljömedvetet företag som stöttar svenskt näringsliv och industri. Som Data Engineer erbjuds du en bred roll med stort utrymme att påverka och tänka nytt. Vi satsar på din utveckling och erbjuder goda möjligheter till både kompetens- och karriärutveckling i en organisation där trivsel och stolthet står i fokus. Rekryteringsprocessen Slutkandidater genomgår en bakgrundskontroll. Vi är en drog- och alkoholfri arbetsplats där slumpmässiga kontroller förekommer. Med anställning följer en skyldighet att krigsplaceras. Mångfald och inkludering Green Cargos medarbetare är nyckeln till att vi ska kunna nå bolagets vision om järnvägslogistik i världsklass och det är medarbetarnas kompetens och ambition som driver bolagets framgång. Vi ser att olikheter bland våra medarbetare stärker vår konkurrenskraft och bidrar till vår affär och vår utveckling. Vi vill därför ha en arbetsplats präglad av mångfald och välkomnar sökanden med olika typer av kompetenser, personligheter, bakgrunder, erfarenheter och perspektiv. Varmt välkommen med din ansökan!

Deadline: Aug 5Posted: Jul 29

DataingenjörYrken med teknisk inriktningSvenska

Data Engineer

LiveScore Group•London, England

Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will contribute to architectural discussions and deliver high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to develop your expertise in optimising data platforms for real-time AI/ML workloads, collaborate with experienced engineers, and make a significant impact on our business. At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! Key Responsibilities * Develop and deploy robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. * Design data models and manage databases effectively to support business analytics and intelligence using dimensional data-modelling principles. Use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. * Automate data workflows and optimise data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and apply best practices in performance tuning. * Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. * Work closely with data engineers, business analysts, and IT teams to define data requirements and deliver comprehensive data solutions. * Stay up to date with the latest GCP features and data-engineering technologies. Explore ways to enhance data infrastructure and contribute to the development of new data products. * Provide second-line support for pipeline failures or data quality incidents and perform fault analysis to resolve issues. * Contribute to system-design decisions and help develop data solutions that support real-time workloads. * Partner with cross-functional teams to translate business needs into effective data solutions. * Design data systems that solve problems and improve reliability & cost-effectiveness. * Develop and maintain robust, secure integrations with core internal systems and third-party platforms. * Implement monitoring and alerting to ensure high system reliability and minimal downtime. Skills, Knowledge and Experience * Experience in data engineering or data warehousing with large-scale, complex datasets. * Experience writing complex SQL queries. * Experience with Python or a similar programming language, with the ability to turn business requirements into working solutions. * Experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI. * Experience with Airflow environment management and Docker. * An interest in contributing to the AI roadmap and experimenting with AI tooling, including coding agents, within the development lifecycle. * The ability to explain technical concepts clearly and concisely to technical and non-technical stakeholders. * Experience developing and optimising real-time and large-scale batch data-processing frameworks. * Experience deploying and maintaining data infrastructure using Infrastructure as Code principles and tools such as Terraform. * An understanding of data-governance, privacy and security best practices in a regulated environment. * A proactive and curious approach to identifying and resolving system inefficiencies. * The ability to work effectively with cross-functional teams and translate requirements into robust data solutions. * A strong sense of responsibility for the quality, reliability and performance of the data solutions you help create. What can we offer? * Company Performance Bonus * Flexible Working Agreements where applicable * Private Healthcare Scheme + Employee Enhanced Assistance * Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay * Subsidised Gym Membership * Annual Travel Card Loan & Ride to Work Scheme * Life Assurance (x3 salary) * Contributory Pension Plan * Virgin Family: Giving you access to exclusive Virgin offers and experiences * Thursday drinks in the office and regular socials

Deadline: Aug 30Posted: Jul 30

Other