Senior Data Engineer

Reperio Human Capital · Recruitment agency
Contract•Data engineering•€400-450/day (EUR)•Ireland · Remote within Ireland · Hybrid
Apply Now

TechJobs.ie Job Insights

At a glance

Employment type
Contract
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 (6-month contract, hybrid in Ireland) to own technical strategy and delivery for data and analytics engineering on Microsoft Fabric. Lead a team, set architecture, and ensure platform reliability, scalability, and cost-effectiveness. Requires strong SQL, Python, and cloud data platform experience.

  • 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 role is a senior-level data engineering contract focused on technical strategy, architecture, and team leadership within a Microsoft Fabric-based data platform, requiring strong hands-on data modelling and cloud platform expertise.

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

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 Cloud Platforms

    0–8 min

    Study the architecture, strengths, and limitations of Microsoft Fabric, Azure, Databricks, and Snowflake to discuss platform choices confidently.

  2. Prepare Data Modelling Case Studies

    8–15 min

    Select 1-2 complex data modelling projects from your experience to discuss, focusing on challenges and outcomes.

  3. Summarize Leadership and Team Development Examples

    15–20 min

    List specific examples of how you have led, mentored, or scaled data engineering teams.

  4. Review CI/CD and Data Testing Implementations

    20–25 min

    Recall details of how you have set up or improved CI/CD pipelines and automated data testing in previous roles.

  5. Draft Targeted Questions for the Interviewer

    25–30 min

    Prepare 2-3 thoughtful questions about the platform, team, and expectations to demonstrate your engagement.

Likely questions

, 6 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 for scalable, reliable, and cost-effective data platforms.

  • Hands-on Data Modelling Expertise

    The role emphasizes strong data modelling skills; be ready to discuss complex modelling scenarios and your approach to designing robust data models.

  • Cloud Data Platform Experience

    Proficiency with Microsoft Fabric, Azure, Databricks, or Snowflake is required; prepare examples of your work with these platforms, especially in production environments.

  • Team Leadership and Development

    You will be leading and developing a team of Data Engineers; prepare to discuss your leadership style, mentoring experience, and how you build high-performing teams.

  • Establishing Engineering Standards and CI/CD Practices

    Experience setting up data testing and CI/CD is desirable; be ready to explain how you have implemented or improved these practices in previous roles.

What to research

, 4 items

  • Microsoft Fabric Platform

    Review the architecture, features, and best practices for Microsoft Fabric, as it is the core platform for this role.

  • Data Modelling Techniques

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

  • CI/CD and Data Testing in Data Engineering

    Prepare to discuss how you have implemented CI/CD pipelines and automated data testing in previous roles.

  • Team Leadership in Data Engineering

    Reflect on your experience leading and developing data engineering teams, including mentoring and performance management.

Questions to ask

, 6 items
  1. What are the immediate technical challenges facing the data platform?

    Why ask this? To understand the current pain points and where your expertise will be most valuable.

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

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

  3. What is the current team structure and what are the plans for growth?

    Why ask this? To assess the scale of leadership responsibility and future opportunities.

  4. How mature are the current CI/CD and data testing practices?

    Why ask this? To gauge the starting point for process improvements.

  5. What is the organization's experience with Microsoft Fabric so far?

    Why ask this? To understand the level of adoption and any challenges encountered.

  6. Are there any regulatory or compliance requirements that impact the data platform?

    Why ask this? To identify any industry-specific constraints or priorities.

Register now to upload your CV

Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.

Sign inRegister now
Apply NowApply before: 11 Nov 2026