Data Engineer

Webologix Ltd/ INC; Leeds; On-site; GBP 55,000 - 85,000; Full time

Job summary

Webologix Ltd/ INC is seeking a Data Engineer to design, build and maintain scalable data platforms, pipelines and products that enable analytics, reporting and AI/ML solutions. The role focuses on reliable, secure, and performant data access across the organisation and supports data strategies for wealth management product features on GBST.

You will work with SQL, data warehousing, data lakes, data modelling, and streaming technologies like Kafka, while leveraging GCS and BigQuery on Google

Qualifications

• Experience with GBST Composer platform
• Data Engineering: SQL, Data Warehousing, Data Lakes, Data Modelling
• Streaming & Integration: Kafka, REST APIs, Microservices
• GCS for ETL/ELT pipelines, DataOps, CI/CD
• Power BI or similar BI tool
• Data Governance, Quality, and Security practices
• Hands-on experience with JSON, ORC and CSV formats; schema design & performance tuning in BigQuery
• Experience of development on Google Cloud Platform
• Programming: Python or Scala
• Exposure to Data Vault, Data Factory, Data Governance & Data Quality concepts

Responsibilities

• Engineer Data Products that are stable, scalable, performant, accessible, testable and secure
• Utilising endorsed technologies and applying common build patterns to minimise debt
• Adhering to group policies and frameworks for build and release
• Participate in design/implementation reviews and team ceremonies to plan, commit to clear goals, prioritise, and address impediments
• Continuously look for reuse and opportunities to automate repetitive tasks
• Participate in Technical Communities to advance shared capabilities
• Promote active custodianship by performing incident root-cause analysis and learning from it
• Support building a strong team by mentoring early career engineers and conducting technical interviews
• Invest to develop your technical and agile skills

Skills

Data Engineering

SQL

Data Modelling

Data Governance

JSON/CSV/ORC

BigQuery

Python

Scala

Data Lake

CI/CD

Tools

GBST Composer

Kafka

Google Cloud Storage

REST APIs

Microservices

Power BI

BigQuery

DataOps

GCP

CI/CD pipelines

Job description

This Data Engineer role will be responsible for designing, building, and maintaining scalable data platforms, pipelines, and data products that enable analytics, reporting, and AI/ML solutions. The role focuses on ensuring data is reliable, secure, performant, and accessible across the organisation. The role also requires define data strategies that will facilitate the implementation of strategic wealth management product features on GBST.

Your responsibilities:

• Engineer Data Products that are stable, scalable, performant, accessible, testable and secure
• Utilising endorsed technologies and applying common build patterns to minimise debt
• Adhering to group policies and frameworks for build and release
• Participate in design/implementation reviews and team ceremonies to better understand the work through planning, commit to clear achievable goals, drive appropriate prioritisation, elevate impediments, act on learnings and demonstrate successes
• Continuously look for reuse, identifying opportunities to automate repetitive manual tasks
• Participate in Technical Communities to advance shared capabilities
• Promote active application custodianship by participating in incident root-cause analysis to identify and act on learnings
• Support building a strong team by mentoring early career engineers to advance their technical skills, and by undertaking technical interviews [paired-programming] to enable us to hire new engineers
• Invest to develop your technical and agile skills

Essential skills/knowledge/experience:

• Experience of working with or integrating into GBST Composer platform
• Data Engineering: SQL, Data Warehousing, Data Lakes, Data Modelling
• Streaming & Integration: Kafka, REST APIs, Microservices
• Google Cloud Storage (GCS) for building robust ETL and ELT pipelines, DataOps, CI/CD
• Visualization & Reporting: Power BI or similar BI tools
• Data Governance, Quality, and Security practices
• Hands‑on experience in managing data formats such as JSON, ORC and CSV, with knowledge of schema design, partitioning and performance tuning in Big Query
• Experience of development on Google Cloud Platform
• Programming: Python &/or Scala
• Exposure to concepts of Data Vault, Data Factory, Data Governance, Data Quality, Data Integration, Product Quality, Master and Refine Data Management. Data Lake and Data Visualization