Senior Data Engineer

Senior Data Engineer

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data engineering projects and support junior team members in a dynamic environment.
  • Company: Fast-growing tech consultancy with a focus on digital transformation.
  • Benefits: Competitive salary, referral bonuses, and a supportive work culture.
  • Why this job: Make a real impact in data engineering while working with Fortune 500 clients.
  • Qualifications: Expertise in RDBMS, Python, SQL, and experience with GCP and ERP systems.
  • Other info: Join a diverse, woman-owned company with excellent career growth opportunities.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Who We Are:

We are a fast growing business and technology consultant company co‑founded in 2019. We offer a custom‑tailored, white‑glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals.

The 3 G’s of RE:

“Get Shit Done.”

“Get Over Shit.”

“Give a Shit.”

This role exists to drive value for our customers and business functions through effective data engineering, modelling, and data transformations by leading the delivery of strategic data solutions whilst setting up resilient data architecture and engineering foundations and supporting junior members of the data engineering team.

Responsible for:

  • Support a data migration for an ERP change, specifically between Netsuite and SAP
  • Leading the design and orchestration of modularized, automated, event‑driven data engineering pipelines and data modelling approaches.
  • Building in quality by design into data engineering practices, enabling a scalable and flexible data architecture and feature rich dataset to support the wider Data function and the entire business.
  • Implementing modern code development and data engineering orchestration strategies to target and streamline our data engineering processes.
  • Embedding new data techniques into the business through coaching, training, and providing experiment design oversight to more junior data engineers.
  • Working with third party partners and software providers to improve and/or implement new data solutions and processes.
  • Being the gatekeeper for customer data, aware of our usage and alignment to data privacy standards, in collaboration with Data Governance to ensure best practice standards are applied/maintained.

Accountable for:

  • Supporting a system to system data migration
  • Working closely with our Lead Data and ML Engineers to drive the adoption of DevOps and modern code development practices across the Data function.
  • Collaborating with Quality and Software Engineering and System teams to drive cross‑function visibility and reduction of technical debt across the teams.
  • Ensuring that our data engineering processes and pipelines are resilient and future‑proof.
  • Developing a strong knowledge of all data sources and maintaining relationships with data users/processors across the company.
  • Being a Senior Data Engineer, supporting more junior data engineering colleagues from a technical skills development perspective.

Essential skills and experience:

  • Extensive expertise of RDBMS, Python, Hadoop, SQL and Pyspark.
  • GCP experience, including Dataproc and Dataflow
  • ERP knowledge, ideally Netsuite and SAP
  • System to system data migration experience
  • Hands on experience in modern code development practices (Infrastructure‑as‑Code) and data engineering in the Google Cloud
  • Experience of ETL/ELT technical design, automated testing of engineering pipelines, quality assurance and documentation.
  • Proven experience of data warehousing, data wrangling and data modelling approaches.
  • Proven experience coaching junior members of data engineering teams and supporting their skills development.
  • Proven experience working collaboratively with System, Quality Engineering and Software Engineering teams.
  • Demonstrable experience of critical thinking, communication and problem‑solving ability and stakeholder management
  • Demonstrate delivery under pressure and to deadline.
  • Experience working in an e‑commerce/retail market would be beneficial.

Preferred skills and experience:

  • Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices.
  • Able to establish what does/doesn’t align to business/functional strategies/priorities and communicate dependencies clearly.
  • Able to drive the adoption of best practice approaches to data engineering, coaching, and supporting the wider data engineering team.
  • Embrace change with a positive outlook.
  • Confident to challenge, and receptive to being challenged.
  • The ability to thrive in a fast‑paced environment.

Join Our Global Team:

We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman‑owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus.

Equal Opportunity Employer:

We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

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Senior Data Engineer employer: RE Partners Consulting

At RE Partners, we are not just a fast-growing business and technology consultancy; we are a community that values collaboration, innovation, and personal growth. Our supportive work culture fosters continuous learning and development, ensuring that our employees thrive in their careers while contributing to meaningful projects for Fortune 500 clients. With a commitment to diversity and a low attrition rate, we offer a unique opportunity for talented individuals to join a dynamic team dedicated to transforming the digital landscape.
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Contact Detail:

RE Partners Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

✨Tip Number 2

Prepare for those interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online resources to get comfortable with articulating your skills and experiences.

✨Tip Number 3

Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real examples of your data engineering prowess, so make sure to highlight any relevant projects during your interviews.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who align with our values and mission.

We think you need these skills to ace Senior Data Engineer

RDBMS
Python
Hadoop
SQL
Pyspark
GCP
Dataproc
Dataflow
ERP Knowledge (Netsuite and SAP)
System to System Data Migration
Infrastructure-as-Code
ETL/ELT Technical Design
Automated Testing of Engineering Pipelines
Data Warehousing
Data Modelling

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with RDBMS, Python, and data migration. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant projects!

Showcase Your Problem-Solving Skills: In your application, give us examples of how you've tackled challenges in data engineering. We love candidates who can think critically and communicate effectively, so share those stories that demonstrate your problem-solving prowess.

Highlight Team Collaboration: Since this role involves working closely with various teams, make sure to mention your experience collaborating with others. Whether it’s coaching junior engineers or working with software teams, we want to know how you’ve contributed to team success.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at RE Partners Consulting

✨Know Your Tech Stack

Make sure you’re well-versed in the essential technologies mentioned in the job description, like RDBMS, Python, and SQL. Brush up on your experience with GCP, especially Dataproc and Dataflow, as these will likely come up during technical discussions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex data engineering challenges. Highlight your critical thinking and problem-solving abilities, as these are key traits for a Senior Data Engineer.

✨Emphasise Team Collaboration

This role involves working closely with various teams, so be ready to share experiences where you’ve successfully collaborated with others. Talk about how you’ve supported junior engineers and driven best practices within a team setting.

✨Demonstrate Adaptability

Given the fast-paced environment, it’s important to show that you can embrace change positively. Share instances where you’ve adapted to new tools or processes, and how you keep up with the latest trends in data engineering.

Senior Data Engineer
RE Partners Consulting
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