Senior Data Engineer (ADF, Databricks)
Senior Data Engineer (ADF, Databricks)

Senior Data Engineer (ADF, Databricks)

Full-Time 28800 - 48000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines using Azure Data Factory and Databricks.
  • Company: Join a forward-thinking tech company with a focus on collaboration.
  • Benefits: Enjoy remote work, health insurance, flexible hours, and exciting company trips.
  • Why this job: Make an impact by delivering robust data solutions in a dynamic environment.
  • Qualifications: Experience in data engineering, ADF, Databricks, SQL, and Python required.
  • Other info: Fast-paced culture with opportunities for growth and learning.

The predicted salary is between 28800 - 48000 ÂŁ per year.

We\’re looking for an experienced data engineer who specialises in designing, constructing, and maintaining data pipelines using Azure Data Factory (ADF) and Databricks. In this role, you will collaborate closely with data scientists, business analysts, and other stakeholders to meet the organisation\’s data requirements. The role is open to applicants based in Ireland or the UK and already holding the necessary work authorisation.

At TEKenable we bring the full range of Microsoft & Salesforce technology best‑of‑breed Low‑Code Low Code platforms. We are an approved Salesforce partner as well as Gold Certified for Azure Cloud and Application Development, Microsoft Business Applications Partner of the Year 2021. Extensive experience in legacy systems integration and we offer licensing and Azure cloud as Managed Services.

Reasons to apply

  • Industry Recognition: Work for an award‑winning company. TEKenable is a recognised Microsoft Business Applications Partner of the Year, a certified Great Place to work and included in the prestigious Deloitte Fast50 for the last four consecutive years.
  • Global Reach: Join a global workforce with 200+ employees and operations in multiple countries, offering a broad perspective along with international experience.
  • Remote Work Flexibility in Ireland and UK: Enjoy the freedom to work from anywhere in Ireland or the UK with this role, offering a great work‑life balance.
  • Diverse Technology Exposure: Work with a wide range of technologies including Microsoft, Salesforce, and Low Code platforms, enhancing your technical skills and knowledge.
  • Professional Growth: Gain certifications in Microsoft as part of your professional development. Opportunities to mentor junior team members and expand your expertise in solution architecture.
  • Collaborative Environment: Be part of a supportive team that values excellent communication, customer engagement, and problem‑solving skills.
  • Challenging Projects: Engage in diverse projects across various industry sectors, providing a stimulating and dynamic work environment.
  • Comprehensive Benefits: Enjoy benefits like remote working in Ireland or the UK, health insurance, flexible working hours & company trips.

Responsibilities

  • Designing, constructing, and maintaining data pipelines using ADF and Databricks.
  • Collaborating with data scientists, business analysts, and stakeholders to understand data needs and provide effective data solutions.
  • Developing and managing scalable data architectures, ensuring data quality and integrity.
  • Optimising data pipelines for performance and reliability.
  • Monitoring and troubleshooting data pipelines to ensure smooth operations.
  • Implementing data security and privacy measures to safeguard sensitive information.
  • Keeping up‑to‑date with emerging technologies and industry trends in data engineering.

Qualifications

  • Demonstrable experience working as part of a data engineering function.
  • Strong proficiency in Azure Data Factory and Databricks.
  • Proficiency in SQL and good to have programming languages like Python.
  • Familiarity with data modelling, data warehousing, and ETL processes.
  • Experience with data visualisation tools such as Microsoft Power BI or Tableau is a plus.
  • Strong problem‑solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to thrive in a fast‑paced, agile environment.
  • If you are passionate about building robust data pipelines and delivering high‑quality data solutions, we encourage you to apply for this exciting opportunity.

TEKenable\’s culture is built upon the values of resilience, heartfelt service, always striving and insatiable curiosity. You can learn more about our values at www.tekenable.ie.

At TEKenable we foster a culture of diversity and inclusion as we pride ourselves on being a company represented by people of all different backgrounds and orientations. We are committed to providing equal employment opportunities regardless of gender, disability, sexual orientation, generation, ethnicity, religion, family or parental status, neurodiversity or belief.

Hiring Process

Once you are successfully selected for interview a dedicated talent acquisition manager will reach out and arrange a short pre‑screening call. We want to learn more about you and the experience you can bring to the position. The interview process will have 2‑3 stages and we will work around your availability. You will the opportunity to talk with our recruitment team at various points throughout the process. All interview stages will be conducted remotely via video calls and arranged at a time that fits with your schedule. We will close the position once the role is filled.

TEKenable has been named as Technology Business of the Year, included in the Deloitte Fast50 for the last 4 consecutive years, and won the Deloitte Impact award. We have also been certified as a \”Great place to work\” for 2023. We have a global reach with operations in Ireland, the UK, Hungary, Spain, South Africa & UAE, with expertise across Financial Services, Healthcare, Agri‑Food, and the Public Sector.

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Senior Data Engineer (ADF, Databricks) employer: TEKenable Ltd

As a Senior Data Engineer with us, you'll thrive in a dynamic and inclusive work culture that prioritises collaboration and innovation. Enjoy the flexibility of remote working from Ireland or the UK, alongside comprehensive health insurance and opportunities for professional growth through company trips and continuous learning. Join a team that values your contributions and supports your career development in the ever-evolving field of data engineering.
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Contact Detail:

TEKenable Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer (ADF, Databricks)

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with ADF and Databricks. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Prepare for those video interviews! Make sure you’re comfortable with the tech and have a quiet space set up. Practise common interview questions related to data pipelines and collaboration with teams, so you can showcase your skills confidently.

✨Tip Number 3

Show off your projects! If you've built any data pipelines or worked on relevant projects, be ready to discuss them in detail. This is your chance to demonstrate your hands-on experience with ADF, Databricks, and SQL.

✨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, it shows you’re genuinely interested in joining our team at StudySmarter.

We think you need these skills to ace Senior Data Engineer (ADF, Databricks)

Azure Data Factory (ADF)
Databricks
SQL
Python
Data Modelling
Data Warehousing
ETL Processes
Data Visualisation Tools
Microsoft Power BI
Tableau
Problem-Solving Skills
Analytical Skills
Communication Skills
Collaboration Abilities
Agile Environment Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!

Showcase Your Collaboration Skills: Since we value teamwork, mention any experiences where you’ve collaborated with data scientists or business analysts. Highlighting your communication skills will help us see how you fit into our agile environment.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at TEKenable Ltd

✨Know Your Tech Inside Out

Make sure you brush up on your Azure Data Factory and Databricks skills. Be ready to discuss specific projects where you've used these tools, and think about how you can explain complex concepts in simple terms. This will show that you not only know your stuff but can also communicate effectively with non-technical stakeholders.

✨Showcase Your Collaboration Skills

Since the role involves working closely with data scientists and business analysts, prepare examples of past collaborations. Think about how you’ve gathered requirements or solved problems together. Highlighting your teamwork will demonstrate that you can thrive in a fast-paced, agile environment.

✨Prepare for Problem-Solving Questions

Expect questions that test your analytical skills and problem-solving abilities. Prepare scenarios where you had to troubleshoot data pipelines or optimise performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.

✨Stay Updated on Industry Trends

Familiarise yourself with the latest trends in data engineering and emerging technologies. Being able to discuss these topics during your interview shows that you're passionate about your field and committed to continuous learning. It’s a great way to impress your interviewers!

Senior Data Engineer (ADF, Databricks)
TEKenable Ltd
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