Data Engineer


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

4th October 2021

Location

London

Salary/Rate

£65000 - £85000

Type

Permanent

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Data Engineer Full time - permanent - Remote or Central LondonBecome a specialist in Google Cloud Data Services! Are you passionate about data? Would you be excited to build cloud first data platforms, potentially processing and storing terabytes of data, and enabling businesses to make better decisions? Are you a quick learner and into working with cutting-edge technologies? If so, let's talk! We're hiring for an experienced Data Engineer to design, implement and maintain modern cloud data platforms at scale, utilising both Google Cloud Platform and open source services. This is an opportunity to work with a world leader in data and machine learning technologies. You'll work alongside a great GCP Engineering team (Data Engineers, Platform Engineers, Cloud Architects, Software Engineers), taking full ownership of your tasks and responsibilities, with opportunities to do back-end, front-end and infrastructure development. If you have an interest in working on innovative projects with cutting edge technology using Google Cloud Platform, this job could be a great opportunity for you. What you'll do: Work with customers to translate requirements into technical designs and follow this through to delivery of the solution. You will be able to design highly available, complex data platforms. Advise customers on modern approaches to data engineering and the best approach to solve their unique problems Understand customer data structures and transformation requirements to build suitable solutions on Google Cloud Platform Design, plan and build highly available, global and cloud native data platforms Assist customers in understanding how cloud technology can help them grow and the benefits it offers Develop internal tooling, and improve processes, for the wider team and business. Key Skills: A minimum of two years commercial experience in the area of data engineering or machine learning Hands-on experience with at least one major cloud provider (GCP, AWS, Azure), including the use of their data related components to build solutions. Experience building large data architectures Experience building ETL / ELT pipelines, Data Lakes and Data Warehouses Experience in using languages like Python, R and SQL as well as Google database services like Firestore, Cloud SQL, Big Query and/or their equivalents from other Cloud providers Experienced in using unit testing and CI / CD A solid grounding working with common data modelling techniques and SQL (e.g. MS SQL, Oracle, PostgreSQL, MySQL) Working knowledge of data governance principles (e.g. data profiling, data cataloguing, managing access controls, etc.) A passion for all things programming, databases, data, big and small Experience using Git and related tooling A good understanding of some of the following: Hadoop / Spark | Apache Airflow | Apache Beam | Relational database technologies (Microsoft SQL, Oracle or PostgreSQL) | Teradata | Tensorflow | Analytical tools (Looker, Tableau, Qlik, Data Studio) Desirable Skills: Experience with or knowledge of Google Cloud Platform (e.g. Pub/Sub, Dataflow, BigQuery, Firestore, etc.) Exposure to real time data ingestion / streaming data sources Experience in or knowledge of working in an agile project based environment Bachelor or Masters degree in Computer Science, Data Science or equivalent experience Location: This role could also be remote based or Central London. What you'll get: In addition to the competitive salary, you'll get private health insurance and company contributed pensions as standard. We have a multitude of other benefits, including a market leading parental leave policies, health & wellbeing initiatives and access to a discounts and rewards programme (including discounted gym membership) You'll be invited to the bi-annual international company 'kick off' conferences, which are a great chance to meet your colleagues that you don't see everyday. Contact: Simon Portway

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