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Dunaia Estética

Associate Data Engineering Manager

Dungannon
Posted about 22 hours ago
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Job Description

Associate Data Engineering Manager

Details

  • Location: Spain
  • Department: Product Engineering
  • Job Type: Full-time

Description

From empowering entrepreneurs to build successful businesses, to supporting their clients to arrange'me time' moments, we’re in the business of elevating people - helping them to thrive and feel fantastic. Lifting others up can be hard, heavy work, and we passionately believe that the sense of purpose and personal satisfaction this brings are worth it.

What started in Poland is now an international, cloud-based marketplace that’s scaling rapidly. We bring independent business owners together with their customers on a product that connects creative communities and opens up worlds of opportunities.

For our providers, our products offer services for getting booked, paid, and building a loyal client base. For their clients, we’re where they can find their favourite spots, discover new businesses and book appointments in an instant.

Working in a rapidly growing, ever-changing scale-up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures then, we've got to be honest, you won't always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy.

The people you’ll like to work with and things you'll enjoy impacting:

As an Associate Data Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Engineering team, your purpose will be to lead a small team of 2-4 talented data engineers while remaining technically hands-on.

You’ll spend about half of your time helping your team grow, running agile ceremonies (like sprint planning and retros), and owning your team's quarterly OKRs. The other half of your time will keep you close to the technology - designing, building, and reviewing high-quality dbt models and pipelines on BigQuery to ensure our data is reliable, performant, and ready for action.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

Essentially, to ensure you succeed in this role you’re going to need…

  • Proven Data Engineering Foundation: 5+ years of hands-on experience in data engineering, coupled with initial leadership experience (such as tech leading, mentoring, or guiding small groups).
  • Modern Data Stack Expertise: Production-level experience designing and reviewing dbt models and data pipelines hosted on Google Cloud BigQuery.
  • Core Development Skills: Expert-level SQL skills and strong Python scripting capabilities for pipeline orchestration (e.g., using Airflow or Cloud Composer).
  • Agile & Delivery Mindset: Practical experience running agile ways of working and a natural drive to take ownership of delivery commitments.
  • English Fluency: At a minimum, we require professional English language skills (B2 level or higher). Why? English is our company language and is used for any business-wide communications, so we need you to be able to communicate smoothly to feel like an integrated part of Booksy.

Benefits

It will also help you to have…

  • Infrastructure as Code: Basic familiarity with Terraform to manage cloud-based data assets.
  • Next-Gen Tech Exposure: Familiarity with PySpark and open table formats like Apache Iceberg or Delta Lake.
  • AI-Assisted Workflows: Experience utilizing tools like Cursor or Claude in your daily engineering tasks to boost productivity and code quality.

Some Of The Benefits We Offer Are:

  • We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. All we ask is that you're based in the country/region this role is advertised in.
  • Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists.
  • Work in a welcoming team which is always ready to help.
  • Opportunity to develop in an international environment - we have teams in 6 countries.

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How AI helps us find great people

Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don’t worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won’t affect your chances in any way.

If you have questions, just drop us a note - we’re happy to explain more.

Our Diversity And Inclusion Commitment:

We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com, so we can best support you.

Kindly submit your application and CV in English to ensure it is successfully reviewed.

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Skills

Data Engineering
Leadership
SQL
Python
Agile
BigQuery
dbt
Airflow
Cloud Composer
Terraform
PySpark
Apache Iceberg
Delta Lake
Cursor
Claude

Location

Dungannon, Northern Ireland, United Kingdom

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