Senior Data Engineer

Senior Data Engineer

Full-Time 55000 - 65000 £ / year (est.) Home office (partial)
Immediate

At a Glance

  • Tasks: Build and manage data pipelines, ensuring quality and timely delivery of engineering tasks.
  • Company: Join Immediate, home to beloved UK brands like Radio Times and Good Food.
  • Benefits: Enjoy 25 days holiday, flexible working, and a vibrant office culture with regular socials.
  • Other info: Be part of a diverse, inclusive culture that values your growth and well-being.
  • Why this job: Make an impact in a dynamic team while developing your data engineering skills.
  • Qualifications: Extensive data engineering experience with advanced SQL and Python skills required.

The predicted salary is between 55000 - 65000 £ per year.

Immediate is home to some of the biggest and most loved consumer brands in the UK, including Radio Times, Good Food and BBC Gardeners World magazine. Our trusted, quality content reaches millions of people a month across digital, print, video, podcasts, apps and live events. We're the destination for people looking to get more from the things they love. We're here to inspire, fuel, encourage and educate.

About the team

The Data Engineering Team is a highly skilled and effective team that is in high demand within the business. The team works within the Product & Technology department at Immediate Media to deliver multi‑department projects and service the data requirements of the business.

About you

You will have technical experience and a passion for solving data problems. You will be comfortable handling data in any format, data modelling and ETL processes. You will have a demonstrable technical skillset – data engineering skills are paramount to this role. You will have good communication skills and be comfortable working with stakeholders and translating business requirements into technical specifications. You should be delivery driven, self‑motivated and capable of independent working. You should strive for best practice and technical excellence and be a person that actively looks for continual improvement. You should be able and willing to guide and support other engineers, including juniors. This will involve coaching, knowledge‑sharing, collaborative work, code reviews and unblocking.

Responsibilities

  • Build and manage robust data pipelines and integrations.
  • Develop and own data solutions to meet company needs.
  • Take ownership for delivering engineering tasks on time and to specifications.
  • Be a technical expert in the data engineering discipline.
  • Build strong relationships with key stakeholders outside the team.
  • Be responsible for data quality and ensuring problems are resolved swiftly.
  • Co‑responsible for robust processes and technical best practice.
  • Co‑responsible for the data platform and technology.
  • Foster skills, share knowledge and cross‑train with peers and juniors.

Requirements

  • Extensive experience delivering data engineering projects.
  • Advanced SQL skills.
  • Advanced Python skills.
  • Experience with PySpark library.
  • Experience with Databricks and Data Lakehouse.
  • Experience with code control/Git.
  • Experience managing CI/CD processes.
  • Advantageous, but not required: DBT experience.
  • Advantageous: Infrastructure as Code (e.g. Terraform).
  • Advantageous: Google Analytics.
  • Advantageous: Google Ad Manager.
  • Advantageous: Atlassian (Jira, Confluence).

Benefits

  • A relaxed working environment with regular socials including a summer festival.
  • Supportive well‑being initiatives and benefits, talks & workshops, and Mental Health First Aiders & Champions.
  • 25 days holiday plus a day for your birthday.
  • Our offices will be closed between Christmas and New Year's which are in addition to your annual entitlement.
  • Tailored training and development through both our in‑house learning platform and LinkedIn Learning.
  • A progressive and transparent culture focused on your development.
  • Flexible / hybrid working plus early finish Fridays.
  • Cycle to work scheme.
  • Enhanced Family Policies including paternity, adoption and surrogacy leave.
  • We also provide a pregnancy loss, fertility, and carers policy.
  • Competitive pension plans and Life Assurance.
  • A newly renovated modern office with lots of collaborative spaces.

At Immediate, we pride ourselves on our open, collaborative, and dynamic culture that empowers our people to thrive and give their best. We care deeply about our people, environment, and impact. Our active Diversity & Inclusion network, comprehensive well‑being programs, and clear sustainability strategies reflect this commitment. People are at the heart of our business and creating a diverse and inclusive working environment is extremely important to us. Immediate is an equal opportunities employer. We'll never treat anyone less favourably because of their sex, gender reassignment, pregnancy and maternity, marital/civil partnerships, sexual orientation, race, nationality, ethnic origin, age, religion or belief or disability. We're also committed to supporting applications from those who are returning to work following a career break, maternity leave or caring responsibilities. Immediate is a place where you can grow, be supported, and make a difference.

Senior Data Engineer employer: Immediate

Immediate is an exceptional employer that fosters a collaborative and dynamic work culture, offering a relaxed environment with regular social events and a strong focus on employee well-being. With tailored training opportunities, flexible working arrangements, and a commitment to diversity and inclusion, Immediate empowers its employees to thrive while making a meaningful impact in the media industry. The newly renovated office space enhances teamwork and creativity, making it an ideal place for Senior Data Engineers to grow their careers.
Immediate

Contact Detail:

Immediate 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 current employees at Immediate or in the data engineering field. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a portfolio of your past projects, especially those involving data pipelines and ETL processes. This will help you stand out during interviews and showcase your technical expertise.

✨Tip Number 3

Practice makes perfect! Brush up on your SQL and Python skills before the interview. You might even want to do some mock coding challenges to get comfortable with problem-solving on the spot.

✨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 the Immediate team.

We think you need these skills to ace Senior Data Engineer

Data Engineering
SQL
Python
PySpark
Databricks
Data Lakehouse
Git
CI/CD Processes
Data Modelling
ETL Processes
Data Quality Management
Stakeholder Communication
Coaching and Mentoring
Problem-Solving

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your technical skills in data engineering, especially your experience with SQL, Python, and any relevant tools like Databricks. We want to see how you can tackle data problems and deliver solutions!

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with our needs. Mention specific projects or achievements that showcase your ability to deliver on engineering tasks.

Communicate Clearly: Since you'll be working with various stakeholders, it's crucial to demonstrate your communication skills. Use your application to show how you've successfully translated business requirements into technical specifications in the past.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Immediate

✨Know Your Data Engineering Stuff

Make sure you brush up on your technical skills, especially in SQL and Python. Be ready to discuss your experience with data pipelines, ETL processes, and any tools like Databricks or PySpark that you've used. They’ll want to see that you can handle data in various formats and have a solid grasp of data modelling.

✨Show Off Your Communication Skills

Since you'll be working with stakeholders, practice explaining complex data concepts in simple terms. Think about examples where you've successfully translated business requirements into technical specifications. This will demonstrate your ability to bridge the gap between tech and non-tech teams.

✨Be Ready for Problem-Solving Questions

Prepare for questions that test your problem-solving abilities. Think of specific challenges you've faced in previous projects and how you overcame them. Highlight your delivery-driven mindset and your commitment to best practices and continual improvement.

✨Emphasise Team Collaboration

They value a collaborative spirit, so be prepared to talk about your experiences mentoring junior engineers or working in a team. Share examples of how you've fostered skills and knowledge-sharing within your team, as this aligns with their culture of support and development.

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