You haven't searched anything yet.
If data is what excites you, this is the role for you! Process over 350gb an hour, almost half a million incoming events a second and maintain petabytes of storage.
This role will see you join the global leader in location-based data, analytics and advertising. This award winning client helps some of the biggest and best known global brands understand and reach their future customers, driving real business outcomes.
My client is a truly global company, with over 20 offices across 5 continents. The team is currently around 200, spread across all locations. This opportunity will enable you to understand and impact every aspect of their product. Headquartered in London, with a Tech Hub in Edinburgh, they are VC backed, financially successful, and undergoing continued growth.
What tech are they using: Spark, Flink, Kafka, ScyllaDB, Redshift, Druid, BigQuery, and Postgres.. But like any good engineering team, they are always looking for better ways to do things.
Join a team that is passionate about what they do, supporting each other and improving as a team. They are growing their engineering team and are excited about the challenges that lay ahead as they look to reach the next 10x scale and intelligence.
You:
5 years commercial Engineering experience
Expert in Python or Scala
Use of Spark, Hadoop or Kafka
Orchestration frameworks, like Luigi, Airflow, or Oozie
A full understanding of data analytics and ingestion engineering
Hands-on implementation and architectural familiarity with streaming, relational, and non-relational databases and systems
AWS, GCP
Excellent working understanding of server-side Linux
Degree in Computer Science, Software Engineering, or similar
Bonus:
Familiarity with Cassandra, ScyllaDB, HBase, or similar datastores
PostgreSQL, BigQuery, RedShift
Benefits:
An extra bank-holiday
Free eye tests
Childcare vouchers
Cycle scheme
Day off on your birthday!
Competitive packages
Early finish Friday - because you deserve it
Pensions - saving for the future?
Some office-centric perks are being re-evaluated in light of our shift to remote working
\n\n
Full Time
$106k-131k (estimate)
03/11/2024
05/10/2024
techruiter.io
The job skills required for Data Engineer include Python, AWS, Computer Science, Futures, Data Analytics, Relational Databases, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
01/22/2022: Fort Wayne, IN
Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
02/10/2022: Winston Salem, NC
Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.