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Principal Data Engineer

4 weeks ago

London, United Kingdom Aubay UK Full time

Required experience:

  • 10-15y experience in Python backend engineering
  • Experienced in development of elastic containerised web services in Azure
  • Designing and implementing automatic deployment pipelines
  • Experience with low-latency data aggregation solutions
  • Experience with SRE Observability

The Principal Data Engineer is the one who conceptualises and designs data foundations and end-to-end solutions including data platforms for the Business to maximise value from data. The role helps create data-driven thinking within the organisation, not just within IT teams, but also in the wider business stakeholder community. A Principal Data engineer is expected to be a subject matter expert, and an active thought partner in the organisation’s data strategy and the key driver to define the Vision and Data Strategy for robust and future-ready IT solutions. You will:

  • Hands-on technical delivery leader
  • Visible community leader for data engineers
  • Conducts quality, community & conference presentations/trainings
  • Has a vast array of technology skills with deep expertise in at least 2 core technologies (Azure, AWS, SAP), shown to up-skill fast, and shown a passion for the industry
  • A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff.
  • Able to drive change and improvement through a deep understanding of the inter-relationship between People, Process, Data and Technology
  • Conceptualizes and designs Data Foundation initiatives in support of the key business programmers.
  • Ensure traceability of requirements from Data needs and requirements, through testing and scope changes, to training and transition.
  • Drive implementation efficiency and effectiveness across the pilots and future projects to minimise cost, increase the speed of implementation and maximise value delivery.

Being Our Team Member

You will be an asset to our team bringing deep technical skills and capabilities to become a key part of projects defining the data journey, keen to engage, network and innovate in collaboration with companywide teams.

We focus on continuous learning of new technologies to make you future-ready.

Educational Qualification

  • University degree in any IT discipline
  • Minimum 10 years of experience in the IT industry

Required Skills

  • Expertise in prototyping, solution design and delivery of end-to-end projects.
  • Able to work/demo on POC involving new technologies.
  • Champion in working with any OLTP/OLAP databases. Highly Experienced in building and optimising complex queries. Highly experienced with data manipulation, processing and extracting value from large, disconnected datasets.
  • Deep subject matter expertise with technologies such as BODS, SLT, HANA, BW.
  • Proven expertise working with reporting tools like SAC (SAP Analytics Cloud), WEBI etc.
  • Hands-on experience in conceptualising, designing and delivering end-to-end data solutions using the technologies mentioned above.
  • Experienced working with NoSQL databases, big data sets and big data technologies.
  • Excellent communication and interpersonal skills. A skilled communicator capable of speaking to both technical developers, architects, and stakeholders.
  • Hands-on experience designing data foundation initiatives like data modelling, data quality, data governance, data maturity assessments and data strategy in support of key business stakeholders.
  • Self-motivated, innovative, and very good at taking up new initiatives and driving them.
  • Proven experience in working with source control technologies (such as GITHUB, Azure DevOps)
  • Must have experience in working with AGILE, KANBAN methodologies.

Nice to have Skills

  • Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery)
  • Risk - Modelling & understanding of risk & risk management.
  • Quantitative Skills - Statistical methods to check and investigate numerical data for practical insights.
  • Commodity Modelling - Energy (power, gas, environmental products) and meteorology.
  • Experience in project management, and running a scrum team.
  • Experience working with BPC and planning.
  • Exposure to working with external technical ecosystem.
  • Managing small teams.