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Senior Data Engineer
Perlego
1.5km | , UK
role reference:  wyw_#00792
Location
1.5km | , UK
Salary
Annual
£75,000 - £90,000
Contract Full-time
Industry E-Learning
Hours 40 - 40 Hours
Days at home 1-5 Per Week
  • Data Modeling
  • Data Analysis
  • Data Visualisation
  • PYTHON
  • Python (Programming Language)
  • ETL PIPELINES
  • DATABRICKS
  • DATA ENGINEER
  • REDSHIFT
  • S3
  • CLOUDFORMATION
  • SAGEMAKER
Description:

A Cloud Data Engineer who takes pride in building robust data pipelines, using tools aligned with infrastructure-as-code methodology, and with a keen interest in database design.

We’re looking to mature our data platform, so we would benefit from experience in implementing quality controls and deploying ML models in production.

We’re operating in AWS and want someone who is already familiar with the platform. Our Data Lake is up and running and internal data is being used regularly across the business for reporting.

The next phase is to mature the platform and set up additional data modules that will be the foundation for our business objectives next year. So this is a great time to join the team and an excellent opportunity for someone who likes to make an impact!

What you’ll do

Manage our big data architecture, working alongside two other data engineers. Implement data pipelines using DataBricks, data checks using soda and datadog, and proactively evolve and mature our data lake.

Develop a deep understanding of the data we capture - understanding all of our source data and its idiosyncrasies.

Work collaboratively with our existing team to ensure that the data platform meets our business needs and to ensure that the data reported is accurate and complete.

What success looks like for this role in the short term

  • In 3 months you will be up to speed on our architecture and have implemented robust quality and completeness checks between the layers of our data lake
  • In 6 months you will have worked with our existing team to design a suitable solution to ingest and process external data sources onto our data lake, which will include machine learning models

How we work together

We are primarily London based working in a hybrid model. We meet regularly in the office for collaboration or socials but communicate daily on slack, zoom and hangouts.

Our daily stand-ups give you the opportunity to explain your goals for the day and highlight any areas where you need help. We will manage our projects & communication through Jira, notion and slack.

Requirements

It’s the perfect role for you if you have:

  • Hands-on experience creating robust ETL pipelines, using big data tools
  • Experience ingesting data from external sources
  • Worked with DataBricks
  • In-depth knowledge of AWS components, e.g. Redshift, S3, CloudFormation, SageMaker
  • Experience in managing ML deployment
  • Strong focus on quality control and testing
  • Advanced knowledge of python
  • Willingness to learn new tools & technologies
  • Previously mentored others

⭐️ It’s a plus if you have:

  • Previously worked in a start-up environment
  • Experience with data observability & monitoring tools such as soda and datadog
  • Experience with DBT
  • Managed an environment for training and calling ML models
  • Exposure to Business Intelligence tools such as Tableau, Looker, or Mode Analytics

Benefits

🌈 Benefits include:

✨Compensation

The range available for this role is from £75,000 - £90,000

🏠 Flexible

We're making learning accessible to all and we want our ways of working to be accessible too. Choose between our impressive office in Chancery Lane, remote work or a bit of both. Work in a way that supports your needs and your life. We trust people to know what works best for them.

We are flexible if you wish to work remotely overseas for short periods of time, as long as you remain a UK tax resident 🗺

🧠 L&D Budget

We value continuous learning, you will get £500 per year to spend on the training of your choice

🌱 Unlimited Coaching Opportunities

Unlimited access to MoreHappi, an on-demand professional coaching platform to offer all employees access to unbiased and professional coaching opportunities.

🤓 Learning Time

All employees have dedicated Learning Time every second Friday afternoon, to focus on new skills, projects or interests that lay outside of their day-to-day job

🌴 Work-Life Balance

Everyone needs a break, so enjoy 30 days off (incl. bank holidays) + 1 additional day annual leave for every year of service up to 35 days off (incl. bank holidays)

🛐 Flexi Bank Holidays

We understand that not everyone aligns with the same calendar; we offer the flexibility to take your local country's bank holiday allowance for other religious or cultural days.

e.g. switch UK Easter Bank Holidays Days for Eid celebrations

❄️ Office Reset

All employees can also enjoy the days between Boxing Day and New Year off, to reset and refresh for the new year - this is additional to your annual leave 🙂

🏖 Sabbatical

After three years there is an opportunity to take a 1-month unpaid sabbatical, and after five years there is an opportunity to take a 1-month paid sabbatical

💛 Personal Days

Life happens and we want you to be able to use your annual leave for resting, relaxing or taking time out to do something you love!

We offer 1 additional day a year for life events (your wedding, relocation, moving house, or a child starting school).

🍏 Health & Wellbeing

We want everyone to feel healthy and happy, so you get the choice of a wellbeing subsidy or private medical insurance via Vitality.

💭 Mental Health

All employees also get access to a free counselling support service via Spill

💸 Financial Wellbeing

Track your financial goals and receive financial advice all via Mintago

🚲 Cycle to Work Scheme

We're committed to building a sustainable business, so we encourage cycling to work. Perlego will buy your bike of choice, which you'll pay back over 12 months.

🎉 Social

We're a tight-knit bunch who enjoy our time to play. We have regular social events and activities for everyone - everything from white water rafting to board game nights.

🍼 Family time

We believe family is really important; we offer new parents a competitive matched parental leave as well as a phased return to work from extended leave.

👼 Workplace Nursery Benefit

We want to support working parents and carers, so we offer a workplace nursery benefit scheme, helping our employees potentially save thousands of £££ against the cost of nurseries each year.

👋 Belonging at Perlego:

🌈 We are an equal opportunity employer and value diversity of thought and background.

❤️ We are actively building a diverse team, so we strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

📣 To enable an equitable experience for all and give you the best chance of success, if you have any specific requirements for any stage of the interview process, please let us know by emailing ben@perlego.com

Key skills:
  • Data Modeling
  • Data Analysis
  • Data Visualisation
  • PYTHON
  • Python (Programming Language)
  • ETL PIPELINES
  • DATABRICKS
  • DATA ENGINEER
  • REDSHIFT
  • S3
  • CLOUDFORMATION
  • SAGEMAKER
Annual
£75,000 - £90,000

CONTRACT

INDUSTRY

Role Type

Job Function

Days at home

40 - 40 Hours
Flexibility:
Working Patterns
Flexi-Time
Compressed Hours
Full-time
Flexibility:
Workplace
Hybrid Working (Office / Home)
Work From Home (WFH)
Office Working
Flexibility:
Life event
Career Breaks / Sabbatical
Shared Parental Leave
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