OVERVIEW

The Data Engineer designs, builds, and maintains complex data processing systems, ensuring data integrity, and optimizing pipelines for efficiency and scalability. Responsibilities include troubleshooting complex data issues, conducting quality checks, and maintaining clear documentation for accurate and reliable data solutions. They also mentor junior team members, fostering collective growth and development, and lead by demonstrating best delivery practices.

KEY RESPONSIBILITIES

  • Maintains and upgrades existing DPL projects, assists with technical data issues that arise across EMEA, and creating flow diagrams to support projects.
  • Provides mentorship for juniors, able to identify optimisation opportunities and plan implementation.
  • Successfully create new solutions, or expand existing solutions, and deliver, maintain and adapt them where an accurate brief has been received, and a need is clear and present.
  • Takes responsibility for security in PII data, code management and deployment.
  • Proactively identify improvement opportunities for dashboards across the business.
  • Recommends suggestions for improvement for existing client dashboards.
  • Proactively engage with all projects, providing proactive support in modeling feasibility, blockers, and flagging expected slippage.
  • Deliver realistic project deadlines, and identify any reasonable blockers prior to project commencement (where possible), so that projects are delivered either on time or any slippage and reasons are communicated clearly.
  • Conduct quality checks, and ensure technical implementations meet required standards. Support more junior members of the team in their QA where necessary.
  • Maintain clear documentation to support design and/ or implementation of new and existing solutions so that implementation is consistent and maintainable, and estimated time frames and requirements are provided.
  • Identify standardisation & automation opportunities within the business.
  • Independently owns small-scale projects, and successfully delivers them by fulfilling success criteria and deadlines.
  • Implement solutions efficiently, and successfully translate clients' business requirements into practical technical solutions.
  • Can turn client business objectives into KPIs, digital goals, measurement plans and technical deliverables which solve critical challenges.
  • Keep training materials for clients and internal Incubeta teams up to date at point of delivery, and make sure learning outcomes are achieved.
  • Keep relevant technical documentation for solutions and technical processes up to date and proactively share them with the team.
  • Can create marketing material for Incubeta and to support new business in collaboration with marketing team (e.g. case studies, blog posts, award entries).

KPI & Performance Management:

  • Deliver to success criteria within assigned tasks, or provide justifiable rationale shared in advance where not achieved.
  • Deliver to deadlines within assigned tasks, or provide justifiable rationale shared in advance where not achieved.
  • Receive positive feedback in post-project reviews and post-training reviews.

HARD SKILLS:

Experience:

  • 5+ years of experience in data engineering, with expertise in maintaining, upgrading, and optimizing data pipelines.

Languages:

  • Advanced in SQL & Python

Certifications:

  • GCP Professional Data Engineer

Technical Expertise:

  • Leverage global technologies and best practices in data engineering.
  • Can troubleshoot complex issues with dashboards.
  • Independently creating effective dashboards for clients using Incubeta dashboarding tools.
  • Delivers code and solutions that are well documented and understandable by other engineers.
  • Can independently follow full end to end data pipeline process, from extracting data from the platforms, to writing SQL and creating dashboards.
  • Utilises Cloud platforms outside of BigQuery (e.g. AWS, Azure).
  • Follow end-to-end processes & best practices: from platform access, extracting raw data using ETL provider, writing SQL and creating dashboards.
  • Maintain a QA process to validate the accuracy and precision of projects, so data is of quality and trusted.

SOFT SKILLS:

  • Proactively share information on the latest updates, new products, and evolving processes with the team. Be viewed as an expert in your field.
  • Demonstrate Data knowledge and expertise through training materials, and address clients' data challenges in senior level discussions.
  • Can lead training sessions & workshops with clients on technical data topics within their expertise.
  • Effectively manage priorities and backlog, and support junior members where challenges occur.
  • Nurture positive relationships with Google and other tech partners to mutually grow our capabilities and reputation.
  • Support and educate clients on technical data solutions, generating positive feedback.
  • Support the wider Incubeta team with scoping, troubleshooting, and knowledge sharing in Data.
  • Share knowledge with the team regularly via the most effective format to ensure learning goals are met for both the team and individuals, and support the individuals in reaching their development goals.
  • Create learning and mentoring goals for both the team as an entity and for people within the team as individuals, in conjunction with the team members and their line managers.

Incubeta Company Values:

  • Earn Trust: Focused on maintaining and increasing customer focus, works with the customer in mind earning trust along each step with clients and colleagues
  • Help Others Succeed: Makes an active contribution to a joint result (organizational target) or to resolving problems or conflicts. Think in terms of possibilities. Is able to solve issues and problems in a timely and effective manner, working as a team.
  • Dare to Lead: Is willing to improve individual performance and stimulate others to act accordingly. Setting the standard and example. Being solution driven.
  • Exceed Expectations: Carries out tasks without help from others; takes command of problem situations and aims to achieve more than the basic requirements

Equal Opportunity Employer:

Incubeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Application Process:

If you feel you meet the criteria please kindly submit your resume, cover letter, and portfolio of relevant work. Applications will be reviewed on a rolling basis until the position is filled.Please take note that if you do not receive a response within 2 weeks of applying, you should consider your application as unsuccessful.

Join us at Incubeta to shape the future of digital marketing!