Senior Data Engineer

Reperio Human Capital · Recruitment agency
Full-time•Data engineering•€400-450/day (EUR)•Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Full-time
Workplace
Hybrid
Day rate
€400-450/day (EUR)

Technologies & skills

Primary technologies

Python

Cloud & infrastructure

AzureCI/CD

Other technical skills

SnowflakeDatabricksSQL

What you'll be doing

Senior Data Engineer role in Dublin (hybrid, 6-month contract) leading technical strategy and delivery for a data and analytics engineering function on Microsoft Fabric. Responsibilities include architecture, team leadership, and platform reliability, scalability, and cost management.

  • Set the technical strategy and architecture for the data platform
  • Line-manage and develop a team of Data Engineers
  • Own the platform's reliability, scalability and cost from end to end

Key requirements

Must-have

  • Previous experience as a senior or lead Data Engineer
  • Strong hands-on data modelling expertise
  • Proficiency in SQL and Python
  • Proficiency with a modern cloud data platform such as Microsoft Fabric, Azure, Databricks or Snowflake
  • Experience setting architecture and standards for pipeline engineering and data modelling

Nice-to-have

  • Experience in a regulated industry
  • Previous technical experience with Microsoft Fabric
  • Experience building or scaling an engineering function from a small team
  • Experience setting up data testing and CI/CD practices

Role signals

Technical focus
data engineering
Leadership
People management
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

Full job description

I'm currently recruiting for a senior data engineer based in Dublin, this is an initial 6-month contract. Focusing on hybrid working strong day rate available.

You'll own the technical strategy and delivery of its data and analytics engineering function and lead a team of Data Engineers on a Microsoft Fabric platform.

About the Role

  • Set the technical strategy and architecture for the data platform.

  • Line-manage and develop a team of Data Engineers.

  • Own the platform's reliability, scalability and cost from end to end.

Requirements

  • Previous experience as a senior or lead Data Engineer with strong hands-on data modelling expertise.

  • Proficiency in SQL and Python.

  • Proficiency with a modern cloud data platform such as Microsoft Fabric, Azure, Databricks or Snowflake.

  • Experience setting architecture and standards for both pipeline engineering and data modelling.

Desirable

  • Experience in a regulated industry.

  • Previous technical experience with Microsoft Fabric.

  • Experience building or scaling an engineering function from a small team.

  • Experience setting up data testing and CI/CD practices.

If this role sounds of interest to you then apply through the link provided below.

Reperio Human Capital acts as an Employment Agency and an Employment Business.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the Senior Data Engineer role in Dublin focuses on leading the technical strategy and architecture for a data platform, managing a team, and ensuring platform reliability, scalability, and cost-effectiveness. The position emphasizes hands-on data modelling, cloud data platform expertise, and leadership in both engineering standards and team development.

  • Technical leadership in data engineering·High
  • Hands-on data modelling expertise·High
  • Cloud data platform proficiency·High
  • Team management and development·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Microsoft Fabric and Comparable Platforms

    0–8 min

    Study the architecture, features, and recent updates for Microsoft Fabric, Azure, Databricks, and Snowflake.

  2. Prepare Data Modelling Case Studies

    8–15 min

    Select 1-2 examples of complex data modelling projects you led, focusing on challenges and outcomes.

  3. Summarize Leadership and Team Development Experience

    15–20 min

    List specific instances where you managed, mentored, or grew a data engineering team.

  4. Review CI/CD and Data Testing Practices

    20–25 min

    Refresh your knowledge of CI/CD tools and processes relevant to data engineering, and prepare to discuss your implementation experience.

  5. Draft Questions for the Interviewer

    25–30 min

    Prepare thoughtful questions about the team, platform, and company strategy to demonstrate your engagement.

Likely questions

, 7 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 5 items

  • Defining and Implementing Data Platform Architecture

    You will need to demonstrate experience setting technical strategy and architecture, so prepare examples where you designed or improved data platform architecture.

  • Hands-on Data Modelling Expertise

    The role requires strong data modelling skills; be ready to discuss specific modelling challenges you've solved and the impact on data quality or performance.

  • Cloud Data Platform Experience

    Proficiency with platforms like Microsoft Fabric, Azure, Databricks, or Snowflake is essential; prepare to discuss your hands-on experience, migrations, or optimizations.

  • Team Leadership and Development

    You will line-manage and develop a team, so be prepared to share examples of mentoring, team building, or leading engineering functions.

  • Establishing Engineering Standards and CI/CD Practices

    The role values experience setting up standards and CI/CD for data pipelines; discuss how you have implemented or improved these processes.

What to research

, 4 items

  • Microsoft Fabric Platform

    Review the architecture, features, and best practices for Microsoft Fabric, as it is specifically mentioned in the listing.

  • Data Modelling Techniques

    Refresh your knowledge of advanced data modelling concepts and be ready to discuss real-world examples.

  • CI/CD for Data Engineering

    Prepare to discuss how you have implemented or improved CI/CD pipelines for data workflows.

  • Team Leadership in Data Engineering

    Reflect on your experience managing and developing data engineering teams, including setting standards and mentoring.

Questions to ask

, 6 items
  1. What are the current priorities or challenges for the data platform team?

    Why ask this? To understand the immediate focus and how your skills can address their needs.

  2. How is success measured for the data engineering function?

    Why ask this? To clarify expectations and performance metrics for the role.

  3. What is the team's experience with Microsoft Fabric, and are there any planned migrations or upgrades?

    Why ask this? To gauge the maturity of the platform and upcoming technical projects.

  4. How is collaboration structured between data engineers and other teams (e.g., analytics, product, IT)?

    Why ask this? To understand cross-functional workflows and communication.

  5. What opportunities exist for influencing the broader data strategy or technology roadmap?

    Why ask this? To assess your potential impact and growth within the organization.

  6. How does the company support ongoing learning and development for technical leaders?

    Why ask this? To learn about professional development and support for leadership roles.

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Apply NowApply before: 11 Nov 2026