Data Engineer
London, England, United Kingdom
Photobox Group
Make stories from your photos. Print photos online or create personalised gifts with Photobox, the photo specialists. Photo Books, Prints, Canvases, more.About us
albelli and Photobox Group have merged to create a leading player in the online European Photo Product and Gifting market. Together we now serve a pan-European customer base of over 7 million customers, supported by our 1,150 colleagues across the United Kingdom, the Netherlands, France, Spain, Germany, Norway and Sweden. We are focussed on inspiring our customers to easily make beautiful photo products and bring their special moments to life. - info on APG
What we do
In the Data Engineering tribe we are building the data analytics enabler for the entire organisation. We’re on a mission to unify our data ecosystem, to make our data accessible and discoverable to everyone, and to keep pace with the desire to make better decisions using data.
We’re passionate about all things data, including things like engineering excellence, data quality and DataOps. We work with a cloud-based Modern Data Stack, and we're building up momentum to accelerate the building and evolution of our strategic analytics platform throughout 2023 and well beyond.
It’s an exciting time to be joining the team; to be part of shaping the future state, with a licence to make a big impact across not just the group but the entire company.
What will you be doing?
You’ll be working closely with our team of data professionals, including data engineers, data analysts, ML Engineers and product specialists. The core responsibilities broadly cover:
- Acquisition, integration, transformation and provisioning of data within our data platform
- Construction and orchestration of data pipelines to ingest data across a broad data landscape
- Raising the bar on data quality, data governance, reliability and engineering excellence
- Preparing the data sets that will ultimately deliver valuable insights to the business
- Enabling the discovery and exploration by analysts, BI, data science and business users
- Identifying opportunities for improvements and putting energy behind turning them into action
Requirements
What will you need to know?
We follow a philosophy that beyond a handful of core skills, most things can be learned on the job by great engineers who love their craft.
Core knowledge:
- SQL and Python are essential
- AWS (preferred) or GCP/Azure
Advantageous knowledge:
- Managed service data warehouses (i.e. Snowflake, Redshift, BigQuery, etc)
- Tools for building modern pipelines such as Fivetran, Airflow, dbt, Terraform, etc
- Provisioning Business Intelligence software (i.e. Looker, Qlikview, Tableau)
- Relational databases
- CI/CD tools and containerisation
- DataOps, data governance, data management, web analytics
- Experience in an the Ecommerce domain
Benefits
- Annual Performance bonus (Discretionary)
- 25 days of holiday a year (excluding public holidays) increasing by 1 day each year up to 30 days after 5 years continuous service
- 8 weeks out of the year to work working remotely abroad
- Healthcare, dental and life assurance
- Money Purchase Pension scheme with employer/employee contributions
- Season ticket loans
- Cycle to work scheme
- Credits to spend each year on company products
- Mental health and wellbeing support available 24/7
- Referral bonus when you bring your friends to join the team
- Funded wellbeing - including discounted gyms, yoga and bootcamps in the office
Equal opportunities statement
We are committed to promoting equal opportunities in employment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.
If you have a disability or special need that requires reasonable adjustments in order for you to perform at your peak during the interview, please let our HR team know ahead of time so that they can assist. We will consider the matter carefully and try to accommodate your needs within reason. If we consider a particular adjustment would not be reasonable we will explain our reasons and try to find an alternative solution where possible.
Sponsorship
We aren't able to offer sponsorship for this role so please only apply if you have the RTW in the advertised location
Tags: Airflow AWS Azure BigQuery Business Intelligence CI/CD Data Analytics Data governance Data management DataOps Data pipelines Data quality E-commerce Engineering FiveTran GCP Looker Machine Learning Pipelines Python QlikView RDBMS Redshift Snowflake SQL Tableau Terraform
Perks/benefits: Health care Salary bonus Yoga
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