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    Data Engineer - IFS Logistics

    Nunspeet, United KingdomHybridFull-time2+ yrs experiencePosted 2d ago
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    Job description

    Data Connect is the trusted, unified logistics data layer that everything else at IFS.ai Logistics depends on — carrier, shipment, invoice and ERP data from dozens of fragmented sources, turned into one model that Transport Planning & Optimization and Shipper TMS both build on. Work here has outsized leverage: fix a pipeline in Data Connect and the improvement is felt across the whole platform.

    We're hiring a Data Engineer to help build and run that platform. This is a hands-on, individual-contributor role — you'll own delivery of pipelines and platform features end-to-end within your area, working under the direction of the Lead Data Engineer rather than setting platform architecture yourself. It's a strong fit if you've got a couple of years of production data engineering experience and want to grow into more ownership over time, with senior engineers around you to learn from rather than being the most senior person in the room from day one.

    What you'll work on

    • Pipelines and ingestion — build and maintain ETL/ELT pipelines that turn carrier, shipment, invoice and ERP data into the canonical Data Connect model; work on document data extraction (OCR/parsing for airway bills, POs, commercial invoices); extend carrier and ERP integrations and help onboard new data sources; implement data contract checks, validation and reconciliation so downstream teams can trust what they consume
    • Platform and data quality — keep the pipelines you own within their performance and quality SLAs; when something breaks in your area, you can typically run it down in a couple of hours, not days; contribute to dimensional models (star/snowflake schemas) to a design set by a senior/lead; follow the team's standards for testing, version control and observability
    • Collaboration — work closely with the Lead Data Engineer, Data Scientists and Software Engineers on pipeline design; document what you build so analysts across Product, Data Science and Customer Success can self-serve rather than asking you

    What success looks like

    • Owns and reliably operates a defined slice of the pipeline estate, within its SLAs
    • Ships pipeline and data features on the roadmap without needing close supervision
    • Debugging and data-quality issues in your area get resolved fast, and documented so others can self-serve next time
    • Trusted by the Lead Data Engineer to take on larger, less-defined problems over time

    Core experience

    • ~2 years' production experience as a Data Engineer or in a closely adjacent backend/data role
    • Strong in SQL, comfortable with dimensional data modelling (Kimball star schema, normal forms)
    • Strong in Python, including unit testing, functional testing and data quality checks
    • Experience with a cloud data platform (BigQuery, Snowflake or similar) and an ELT tool such as dbt
    • Experience with BI tools (Superset, Looker, Power BI)
    • Experience building APIs and comfortable reading Django or FastAPI source code

    Data engineering fundamentals

    • Understands schema evolution, partitioning and incremental loads
    • Familiar with streaming/event tooling (Pub/Sub, Kafka, Datastream or similar) — you don't need to have designed one from scratch
    • Uses version control properly (GitHub/GitLab) and writes tests for pipeline logic
    • Comfortable using LLMs and AI coding tools for rapid debugging and prototyping

    Ways of working

    • Comfortable asking for direction on architecture calls, but takes full ownership of building and running what's assigned
    • Clear, proactive communicator — flags risk early rather than after an SLA is missed
    • Curious about the logistics domain rather than treating data as generic rows and columns

    Nice to have

    • Experience with OCR/document-parsing tools (Tesseract, Textract) or supply chain documents (POs, invoices, airway bills)
    • Exposure to infrastructure-as-code (Terraform) or Kubernetes
    • Prior logistics, supply chain or B2B SaaS data experience
    • Exposure to ML, NLP, generative AI, forecasting, or analytics pipelines

    Tech stack

    • Warehouse/lakehouse: BigQuery.
    • Transformation: dbt.
    • Visualisation: Cube Cloud, Superset.
    • Streaming/integration: Pub/Sub, Datastream.
    • Languages: Python, SQL.
    • Infra: GCP, Kubernetes, Terraform, CI/CD, K8s.

    We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

    Job details are sourced from the employer's original posting.

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    About the company

    Ifs

    About IGT1 IGT1 is a rapidly growing offshore technology and talent solutions company based in Port City Colombo. We are a fully owned subsidiary of IGT I Holdings Sweden AB, funded by the three of world’s leading private equity firms; EQT Group, Hg, and TA Associates. We’re also proud to be a sister company of IFS, Sri Lanka’s largest and most established technology company.  At IGT1, we partner with global businesses to provide them with an operation that maximizes efficiency, spurs growth, allows them to develop and deliver world-class product and services, and create long-term value. Our people-first culture champions diversity, teamwork, and continuous learning, creating an environment where talent thrives.  With a team of over 500 professionals and counting, we are always looking for passionate, skilled individuals who want to make a global impact while being part of something extraordinary.  Through our offshore collaboration model, you'll be embedded within the team of one of our esteemed international clients, contributing directly to high-impact, enterprise-level initiatives.  About the client: Sitecore  Sitecore delivers a composable digital experience platform that empowers the world’s smartest and largest brands to build lifelong relationships with their customers. A highly decorated industry leader, Sitecore is the leading company bringing together content, commerce, and data into one connected platform that delivers millions of digital experiences every day. Thousands of blue-chip companies including American Express, Porsche, Starbucks, L’Oréal, and Volvo Cars rely on Sitecore to provide more engaging, personalized experiences for their customers.

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