data engineer

a.s.r. Verzekeringen

<div><p>Wil jij complexe databronnen samenbrengen tot &eacute;&eacute;n krachtig klantbeeld? En bouwen aan een modern marketingdataplatform? Word Data Engineer bij a.s.r. in Utrecht!</p></div>
<br><div><p>Als Marketing Data Engineer bij a.s.r. werk je aan een toekomstbestendig dataplatform waarin real‑time webdata samenkomt met klant‑ en verzekeringsdata. Je ontwikkelt en beheert datapijplijnen die ervoor zorgen dat data veilig, schaalbaar en betrouwbaar beschikbaar is voor onze marketingteams. Je werkt nauw samen met Business Analisten, Marketeers en Web Analisten en vertaalt hun behoeften naar sterke dataproducten. De uitdaging ligt in het combineren van verschillende databronnen, het waarborgen van kwaliteit en het bouwen van oplossingen die direct bijdragen aan betere inzichten en klantbeleving. Je krijgt ruimte om technisch te groeien en impact te maken in een data‑gedreven omgeving. Wil jij werken aan slimme datastromen met directe impact op marketing en klantinzichten? Solliciteer dan nu als Data Engineer bij a.s.r.!</p></div>
<br><div></div><div><div>Dit ga je doen als Data Engineer bij a.s.r.</div><div></div><div>
<ul><li>je vertaalt samen met Business Analisten, Marketeers en Web Analisten behoeften naar robuuste dataproducten
</li><li>je ontwerpt, ontwikkelt, test en implementeert schaalbare datapipelines en API‑oplossingen op het Azure‑platform
</li><li>je werkt met Azure‑tools zoals Data Factory, Eventhub, Functions, SQL DB, Synapse, Data Lake Storage en Databricks
</li><li>je integreert marketing- en gedragsdata met klant- en verzekeringsdata voor een compleet klantbeeld
</li><li>je automatiseert build-, test- en deployprocessen met Azure DevOps, Git en CI/CD</li></ul></div></div>
<br><div></div><div><div>Dit bieden we je</div><div>
</div><div></div><div><div><div>Salaris en extra's</div><div></div><div>
een bruto salaris van &euro; 4.600 - &euro; 6.600 op basis van 38 uur per week, een 13e maand en 8% vakantievergoeding. Een thuiswerkvergoeding en korting op verzekeringen</div></div></div><div>
</div><div></div><div><div><div>Pensioen</div><div></div><div>
een goede pensioenregeling met veel flexibiliteit en een hoge bijdrage van de werkgever</div></div></div><div>
</div><div></div><div><div><div>Werkplek</div><div></div><div>
hybride werken: gemiddeld tenminste 40% op kantoor en veel ruimte om je eigen werktijden te bepalen</div></div></div><div>
</div><div></div><div><div><div>Reizen</div><div></div><div>
een NS-Business Card met vrij reizen (ook priv&eacute;) of een kilometervergoeding</div></div></div><div>
</div><div></div><div><div><div>Persoonlijke ontwikkeling</div><div></div><div>
veel aandacht voor je ontwikkeling, je inzetbaarheid en je gezondheid</div></div></div><div>
</div><div></div><div><div><div>Impact maken</div><div></div><div>
werk waarmee je een positieve invloed hebt op de samenleving van morgen; samen stropen we onze mouwen op voor een eerlijkere en duurzamere toekomst</div></div></div><div>
</div><div></div><div><div><div>Begeleiding test</div><div></div><div>
Test</div></div></div></div><div></div>
<br><div></div><div><div>Deze vacature is echt iets voor jou, want jij</div><div></div><div>
<ul><li>hebt tenminste hbo werk- en denkniveau en minimaal drie jaar ervaring als Data Engineer
</li><li>hebt ervaring met Azure‑tools en DevOps‑platformen zoals Azure DevOps en Git
</li><li>hebt kennis van datamodellering, datatransformatie en het beheren van databronnen
</li><li>hebt ervaring met real‑time datastromen en het ontwikkelen van API&rsquo;s
</li><li>werkt comfortabel met Python (PySpark) en SQL</li></ul></div></div>
<br><div></div><div><div>Hier ga je werken als Data Engineer in Utrecht</div><div></div><div>
<p>Je werkt in een multidisciplinair scrumteam binnen Digital &amp;IT dat volgens SAFe‑principes werkt. Het team bestaat uit circa 12 collega&rsquo;s met verschillende expertises. Samen werken jullie aan een modern en betrouwbaar dataplatform dat continu wordt verbeterd. De samenwerking is open en betrokken: je werkt deels op kantoor en deels vanuit huis en hebt veel contact met collega&rsquo;s uit verschillende disciplines. Er is ruimte om te leren, initiatief te nemen en nieuwe oplossingen te ontwikkelen. Werken bij a.s.r. heeft nog meer voordelen, waaronder een fijne werksfeer, &eacute;n een uitstekende werk-priv&eacute;balans.</p></div></div>

Data Engineer

VERSA Integrated Solutions

<p>Position: Data Engineer</p><p>Department: Federal Programs</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.</p><p>The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.</p><p>Position Objectives</p><p>The Data Engineer will:</p><ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul><p>Major Duties &amp; Responsibilities</p><p>Data Pipeline Development</p><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul><p>Cloud Data Engineering</p><p>Support enterprise cloud platforms including:</p><ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul><p>Develop cloud-native data integration solutions supporting modernization initiatives.</p><p>Data Integration</p><ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul><p>Data Quality</p><ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul><p>Analytics Support</p><p>Provide data services supporting:</p><ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul><p>DevSecOps</p><p>Collaborate with engineering teams to:</p><ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul><p>Required Technical Skills</p><p>Languages</p><ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul><p>Cloud</p><ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul><p>Databases</p><ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul><p>Tools</p><ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul><p>Preferred Skills</p><ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul><p>SME (15+ Years)</p><ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul><p>Desired Federal Experience</p><p>Experience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.</p><p>Security Clearance</p><p>Ability to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.</p><p>Why Join VERSA?</p><p>Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.</p><p>Pay: $120,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

aaff

<div>
 <strong>
  Wat krijg je van ons?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Salaris: &euro; 4.195 tot &euro; 6.800.
  </li>
  <li>
   Co-eigenaarschap vanaf dag &eacute;&eacute;n (bij vast contract): je krijgt tien certificaten cadeau en kunt meerdere keren per jaar extra certificaten bijkopen.
  </li>
  <li>
   Regie over je werktijden: werk thuis of op kantoor, in overleg met je team.
  </li>
  <li>
   Keuzevrijheid in verlof: tot 38 vrije dagen per jaar.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Wat vragen we van je?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Kennis en ervaring: hbo- of wo‑werk- en denkniveau en minimaal 5 jaar ervaring in data engineering en cloud data platformen.
  </li>
  <li>
   Skills en vaardigheden: ervaring met Azure, Databricks, SQL, Python of PySpark en bij voorkeur dbt, CI/CD en datamodellering.
  </li>
  <li>
   Mentaliteit: je neemt eigenaarschap, werkt zelfstandig en brengt structuur aan in complexe data‑vraagstukken. Je communiceert helder en schakelt makkelijk tussen techniek en business.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data engineer in Tilburg
  <br/>
  <br/>
 </strong>
 Werk aan een dataplatform dat echt verschil maakt. Als senior data engineer bij aaff speel je een sleutelrol in het ontsluiten, modelleren en optimaliseren van uiteenlopende databronnen. Samen met een multidisciplinair team bouw je aan slimme, schaalbare oplossingen die data omzetten in waardevolle inzichten voor de hele organisatie.
 <br/>
 <br/>
 <strong>
  Wat ga je doen als data engineer bij aaff?
  <br/>
  <br/>
 </strong>
 Als senior data engineer ben je verantwoordelijk voor het ontwikkelen, optimaliseren en onderhouden van ons dataplatform en de bijbehorende datapipelines. Je werkt nauw samen met verschillende disciplines binnen het waarde team Data en AI om data te ontsluiten, te modelleren en te integreren binnen ons platform. Daarmee zorg je ervoor dat data optimaal benut wordt voor analyses en rapportages.
 <br/>
 <br/>
 Ons platform draait volledig op Azure. Het ontsluiten, opschonen en modelleren van data gebeurt binnen Databricks, in combinatie met dbt. Het platform is ingericht als een OTAP-straat volgens infra-as-code principes, met behulp van IaC.
 <br/>
 <br/>
 Binnen aaff werken we met een brede set aan databronnen. Natuurlijk speelt financi&euml;le data een belangrijke rol, maar we onderscheiden ons juist door ook niet-financi&euml;le data te benutten. Denk bijvoorbeeld aan agrarische data zoals VEM, droge stofgehaltes, kilogram melk, stikstof en grondgebruik. Daarnaast gebruiken we interne data om de effici&euml;ntie en kwaliteit van onze processen te meten en te verbeteren.
 <br/>
 <br/>
 Als onderdeel van een groeiend datateam draag je bij aan het verder realiseren van onze datastrategie. Je werkt in een zelfsturend waarde team samen met data engineers, data analisten, AI engineers en een scrum master aan uiteenlopende projecten binnen de organisatie.
 <br/>
 <br/>
 <strong>
  Je Belangrijkste Verantwoordelijkheden Zijn
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ontwikkelen en beheren van pipelines binnen ons Azure-gebaseerde dataplatform
  </li>
  <li>
   Modelleren van data voor rapportages en analytische toepassingen
  </li>
  <li>
   Inrichten, onderhouden en verbeteren van onze data-infrastructuur met DevOps-principes
  </li>
  <li>
   Werken met tooling zoals Dagster, Databricks, DBT, Purview en Devops
  </li>
  <li>
   Optimaliseren van bestaande datastromen, databases en processen voor performance en betrouwbaarheid
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Jouw Arbeidsvoorwaarden
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Salaris: &euro; 4195 tot &euro; 6800 op fulltime basis, afhankelijk van jouw ervaring.
  </li>
  <li>
   Keuzevrijheid in verlof: jij bepaalt hoeveel vrije dagen je opneemt, tot 38 per jaar. Kies uit regulier verlof, het aaff-budget of extra dagen via je salaris. Wat je van het aaff-budget niet gebruikt, keren we uit.
  </li>
  <li>
   Thuiswerkbudget van &euro; 550: om je werkplek thuis prettig en ergonomisch in te richten.
  </li>
  <li>
   Vergoeding voor thuiswerken: &euro; 2,40 per thuiswerkdag + &euro; 40 netto internetvergoeding per maand.
  </li>
  <li>
   Duurzaam onderweg: 0,30 per auto-km voor woon-werkritten, &euro; 0,40 (&euro; 0,23 netto) per fiets-/wandelkilometer. Daarbovenop een volledige OV-vergoeding of &ndash; bij meer dan 7.500 zakelijke km/jaar &ndash; een elektrische leaseauto of mobiliteitsbudget. Bij elektrisch rijden ontvang je &euro; 0,40 per kilometer.
  </li>
  <li>
   Ruimte voor groei, verdieping en verbreding: ontwikkel je verder via de aaff academie of externe opleidingen, gewoon onder werktijd.
  </li>
  <li>
   Jaarlijks &euro; 200 vitaliteitsbudget: voor jouw mentale en fysieke gezondheid en altijd toegang tot ons online platform OpenUp.
  </li>
  <li>
   Flexibel verlof sparen: voor een sabbatical, langere reis of tijd voor jezelf.
  </li>
  <li>
   Feestdagen omruilen: kies twee dagen die passen bij jouw religie of cultuur.
  </li>
  <li>
   Laptop en telefoon: alles wat je nodig hebt om je werk goed te doen.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We leren je graag kennen
  <br/>
  <br/>
 </strong>
 We zijn benieuwd naar jouw verhaal en horen graag hoe jij ons als co-eigenaar komt versterken. Heb je nog vragen? Schroom niet om contact op te nemen met Roos Lambregts, onze recruiter, via roos.lambregts@aaff.nl of 06 81 73 93 04. Of solliciteer direct.
 <br/>
 <br/>
 <strong>
  Aangenaam, aaff.
  <br/>
  <br/>
 </strong>
 H&eacute;t gezicht in accountancy en advies met 2.000 co-eigenaren. Samen ondersteunen we bedrijven in financi&euml;n, fiscaliteit, juridische advisering en bedrijfsvoering. Als co-eigenaar bouw je vanaf dag &eacute;&eacute;n mee aan ons gezamenlijke succes. Je denkt mee, ziet kansen en voelt je verbonden met aaff omdat je er zelf onderdeel van bent. Die mentaliteit merk je overal: geen hi&euml;rarchie of dichte deuren, maar korte lijnen, vertrouwen en samenwerking. Met 50 vestigingen door heel Nederland zijn we altijd dichtbij. Betrokkenheid om de hoek, maar met impact die verder reikt. Zo bouwen we lokaal aan iets groots &ndash; voor ondernemers, voor elkaar en voor de toekomst.
</div>


Data engineer

Trust In SODA

<div>
 <p>
  Are you a Principal Engineer who thrives on building high-scale, external-facing products rather than just internal dashboards?
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are partnering with a global leader in scientific software whose enterprise platforms power critical innovations worldwide. They are looking for a
  <strong>
   Principal Data Engineer
  </strong>
  who brings sharp technical ownership and great energy to a collaborative team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🚀
  <strong>
   Role:
  </strong>
  Principal Data Platform Engineer
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Woking, UK (Hybrid)
 </p>
 <p>
  💼
  <strong>
   Sector:
  </strong>
  Life Sciences Enterprise SaaS
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Reality of the Challenge:
  </strong>
 </p>
 <p>
  This isn't about managing internal data pipelines for a single company. You will be architecting and scaling a core data platform designed to serve over 200+ enterprise clients simultaneously. We need someone who understands the high stakes of a true commercial SaaS product lifecycle&mdash;where system uptime, rigorous testing, and avoiding outages are everything.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🌟 What You&rsquo;ll Do:
 </p>
 <ul>
  <li>
   <strong>
    Build for True Scale:
   </strong>
   Architect and scale modern data platforms capable of serving 200+ external enterprise clients simultaneously without breaking a sweat.
  </li>
  <li>
   <strong>
    Own the Product Lifecycle:
   </strong>
   Drive engineering excellence from initial requirements and refinement through to heavy testing and production deployment.
  </li>
  <li>
   <strong>
    Drive Team Energy:
   </strong>
   Bring a proactive, direct, and high-energy approach to the engineering team&mdash;helping unblock complex architecture challenges and elevating the people around you.
  </li>
  <li>
   <strong>
    Bridge Software &amp; Data:
   </strong>
   Treat data infrastructure like a world-class software product, ensuring high availability, observability, and seamless performance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  🛠️ What We Are Looking For:
 </p>
 <ul>
  <li>
   <strong>
    The SaaS Mindset:
   </strong>
   You must have a proven track record of building data architectures
   <em>
    for commercial SaaS products
   </em>
   , not just internal company BI. You understand the classic software development lifecycle and how to build to prevent system outages.
  </li>
  <li>
   <strong>
    The Data Stack:
   </strong>
   Deep, hands-on production experience with
   <strong>
    Databricks
   </strong>
   is preferred. (If your background is in
   <strong>
    Snowflake
   </strong>
   or
   <strong>
    BigQuery
   </strong>
   , that works perfectly too&mdash;provided it's paired with AWS).
  </li>
  <li>
   <strong>
    The Cloud Ecosystem:
   </strong>
   <strong>
    AWS
   </strong>
   is highly preferred. If your expertise lies in another ecosystem like GCP, you&rsquo;ll need to have it tightly paired with Databricks experience.
  </li>
  <li>
   <strong>
    The Vibe:
   </strong>
   You are collaborative, direct, and bring great energy to the room. You enjoy solving tough problems alongside a sharp team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  💼 Why This Role?
 </p>
 <p>
  You get to work on a product that makes a genuine global impact, operating with the agility of a focused product team. It&rsquo;s a high-trust, hybrid environment where your architectural choices directly impact the product's commercial success.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re a Principal Engineer who thrives on building robust SaaS products and wants to join a high-energy team, let's connect. Drop me a message with your profile!
 </p>
</div>


Safetykleen

<div><p><b>Data Engineer | Microsoft Fabric, Dynamics 365 &amp; Data Migration | Hybrid &ndash; Brentford</b></p>
<p><b>About the Role</b></p>
<p>We&rsquo;re looking for a skilled Data Engineer to join our BI &amp; Data team at a critical stage of our data transformation journey.</p>
<p>You&rsquo;ll play a key role in migrating data into Microsoft Fabric and supporting the ongoing rollout of Microsoft Dynamics 365, helping to build scalable, reliable and future-focused data solutions across the business.</p>
<p>This is a hands-on role suited to someone who enjoys solving complex data challenges, improving processes and working closely with both technical teams and business stakeholders. You&rsquo;ll be involved in everything from pipeline development and reconciliation testing to data modelling, troubleshooting and automation initiatives.</p>
<p>With significant investment in modern data platforms, AI and automation, this is an exciting opportunity to join a business focused on taking its data capabilities to the next level.</p>
<p><b>What You&rsquo;ll Be Doing</b></p>
<ul><li>Building and maintaining Microsoft Fabric pipelines, Lakehouses and data solutions</li>
<li>Supporting CRM data migration into Dynamics 365 / Dataverse</li>
<li>Writing and optimising complex SQL / T-SQL queries and transformation logic</li>
<li>Designing and executing reconciliation testing across migration projects</li>
<li>Investigating data issues and performing root cause analysis</li>
<li>Creating data models and supporting KPI reporting requirements</li>
<li>Working closely with stakeholders to understand business and reporting needs</li>
<li>Managing and improving automated data processes and pipelines</li>
<li>Supporting wider AI, automation and continuous improvement initiatives</li>
</ul>
<p><b>What We Offer</b></p>
<ul><li>&pound;65,000 &ndash; &pound;72,000 salary</li>
<li>Hybrid working &ndash; Brentford office 1 day per week</li>
<li>Opportunity to work on large-scale Microsoft Fabric and Dynamics 365 projects</li>
<li>Exposure to AI and automation initiatives</li>
<li>Collaborative and supportive team environment</li>
<li>Ongoing training and development opportunities</li>
<li>Genuine opportunity to influence future data strategy and innovation</li>
</ul>
<p><b>About You</b></p>
<p>You&rsquo;re a technically strong Data Engineer with experience delivering data migration, transformation and integration projects within fast-paced environments.</p>
<p>You&rsquo;ll be confident working with large datasets, solving complex data issues and communicating effectively with both technical and non-technical stakeholders.</p>
<p>You&rsquo;ll ideally have experience across Microsoft Fabric, Dynamics 365 and modern cloud-based data platforms, alongside the ability to manage multiple priorities and deliver to tight deadlines.</p>
<p>You will have:</p>
<ul><li>Strong SQL / T-SQL skills including complex queries and performance tuning</li>
<li>Hands-on Microsoft Fabric experience including Lakehouses, Pipelines and Notebooks</li>
<li>Proven ETL / ELT and data engineering experience</li>
<li>Experience supporting CRM or Dynamics 365 data migrations</li>
<li>Data reconciliation and validation experience</li>
<li>Strong problem-solving and analytical skills</li>
<li>Excellent stakeholder communication skills</li>
<li>A proactive, adaptable and solutions-focused approach</li>
</ul>
<p>Desirable experience includes:</p>
<ul><li>PySpark or Python within Fabric Notebooks</li>
<li>Azure Data Factory, Synapse or Azure Data Lake</li>
<li>Power BI reporting experience</li>
<li>AI or machine learning exposure</li>
<li>Microsoft certifications including DP-600 or DP-203</li>
</ul>
<p><b>About Us</b></p>
<p>At Safetykleen, we provide essential parts cleaning, waste collection and environmental advisory services that help customers reduce their environmental footprint and improve operational performance.</p>
<p>With operations in 15 countries and over 1 million services delivered each year, you&rsquo;ll be joining a stable, growing business with a fast-paced and collaborative environment, where safety, compliance and sustainability are central to everything we do.</p>
<p>When you join Safetykleen, you&rsquo;ll be part of a supportive, ambitious and growing business where your expertise and development genuinely matter.</p></div>

<div><div><p><b>About THG</b></p>
<p>
We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.</p>
<p>
Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.</p>
<p>
From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.</p>
<p>
With us, you'll go further, faster. What are you waiting for?</p></div><p><b>
Location: Icon 1, WA15 0AF</b></p>
<p><b>
About Central Functions</b></p>
<p>
Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded.</p>
<p><b>
Why be a Data Engineer at THG?</b></p>
<p>
THG is building the engineering capability that will sit beneath every analytics, data science and AI initiative across the business. As a Data Engineer within our Engineering &amp; Governance pillar, you will work within one of three domain-aligned engineering teams &mdash; Customer, Commercial or Operations &mdash; helping to build and evolve the structured domain datasets that the business depends on.</p>
<p>
This is an early-career role with real responsibility. You will be working alongside a Senior Data Engineer and Engineering Lead on some of THG's most important data challenges: consolidating fragmented data sources, building reliable pipelines, and moving the business towards a consistent, trustworthy foundation for how we manage our data.</p>
<p>
We are not looking for someone who has done this all before &mdash; we are looking for someone technically capable, curious, and genuinely motivated by the craft of data engineering. If you want to build things that matter and develop quickly in a fast-moving environment, this is the right role.</p>
<p><b>
What you'll do:</b></p>
<p><b>
Pipeline Development</b></p>
<ul>
<li>Build and maintain data pipelines within your domain &mdash; extracting, transforming and loading data from source systems into structured domain datasets in BigQuery</li>
<li>Work to the architectural patterns and standards set by the Engineering Lead &mdash; applying consistent approaches to how data is ingested, transformed and stored</li>
<li>Support the migration of existing pipelines from legacy on-prem SQL Server infrastructure to BigQuery and Dataform</li>
<li>Apply version control (Git) as standard practice &mdash; all code is reviewed, documented and maintained properly</li>
</ul>
<p><b>Domain Dataset Development</b></p>
<ul>
<li>Contribute to the build-out of your aligned domain dataset &mdash; helping to consolidate disparate data sources into a structured, reliable and well-documented data asset</li>
<li>As an example in the Customer domain: working towards the foundations of a unified customer dataset, bringing together data from multiple source systems into a consistent, queryable structure</li>
<li>In Commercial: building and maintaining the datasets that power category, brand and trading analytics &mdash; ensuring consistency in how commercial data is structured and stored</li>
<li>In Operations: developing the data pipelines and structures that support supply chain, logistics and fulfilment analytics</li>
<li>Identify and flag data quality issues within your domain &mdash; working with the Data Governance Lead on standards and resolution</li>
</ul>
<p><b>Collaboration</b></p>
<ul>
<li>Work closely with your Senior Data Engineer and the Engineering Lead &mdash; asking questions, learning fast and contributing to the team's technical decisions</li>
<li>Engage with analytics and data science teams who consume your domain's data &mdash; understanding their requirements and ensuring what you build is useful</li>
<li>Participate in code reviews &mdash; both having your work reviewed and, as you develop, reviewing others</li>
<li>Use AI tools effectively to accelerate your development work &mdash; we expect AI-assisted coding and pipeline development to be part of how the team works</li>
</ul>
<p><b>What skills and experience do I need for this role?</b></p>
<p><b>
Essential</b></p>
<ul>
<li>Solid SQL skills &mdash; able to write intermediate to advanced queries and comfortable working with relational databases</li>
<li>Python &mdash; working knowledge sufficient for data manipulation, scripting and pipeline development</li>
<li>A genuine passion for data engineering &mdash; you find the challenge of getting data right genuinely interesting</li>
<li>Attention to detail and a methodical approach &mdash; data engineering is unforgiving of sloppiness</li>
<li>Eagerness to learn &mdash; this role will develop quickly and we want someone who grabs that opportunity</li>
</ul>
<p><b>Desirable</b></p>
<ul>
<li>Exposure to BigQuery, Dataform or equivalent cloud data tools</li>
<li>Familiarity with version control (Git)</li>
<li>Experience with or understanding of data pipeline design patterns</li>
<li>Degree in Computer Science, Mathematics, Engineering or a related discipline</li>
<li>Any experience applying AI tools in a technical context</li>
</ul>
<p><b>What's in it for me?</b></p>
<p><b>
Career Development</b></p>
<ul>
<li>Access bespoke development programmes that have been designed and developed by our in-house L&amp;D team.</li>
<li>Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.</li>
</ul>
<p><b>Enhanced Leave</b></p>
<ul>
<li>25 days annual leave plus bank holidays.</li>
<li>Don't want to work on your birthday? We don't either! Enjoy your day off on us!</li>
<li>Enhanced maternity and paternity pay, depending on length of service.</li>
<li>Up to 10 days compassionate leave.</li>
<li>Buy back up to 3 days each year.</li>
<li>Unlock 2 days volunteer leave after 12-months.</li>
</ul>
<p><b>Wellbeing Support</b></p>
<ul>
<li>Access face-to-face and virtual appointments with our in-house GP.</li>
<li>Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.</li>
<li>State-of-the-art on-site gym.</li>
<li>Access to our on-site physio.</li>
</ul>
<p><b>Other Perks</b></p>
<ul>
<li>Save up to 12% on the cost of personal tech through our salary sacrifice scheme.</li>
<li>Subsidised bus pass from Manchester City Centre to our ICON office.</li>
<li>Up to 50% staff discount on THG brands.</li>
<li>On-site staff shop.</li>
<li>Know someone who would be perfect for THG? Refer them and get up to &pound;1000 when they pass their probation.</li>
<li>Anniversary gifts when you hit 5 and 10 years of service.</li>
</ul><div><p><b>
THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.</b></p>
<p><b>
THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.</b></p>
<p><b>
Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our </b><b>Talent</b><b> team to discuss further.</b></p></div></div>

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