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Senior Data Engineer

BitMEX logo

Location
AS, AU + 51 more
BitMEX

Job Description

About BitMEX

BitMEX stands as a globally leading exchange for crypto derivatives, offering traders a professional-grade trading platform. Since its inception in 2014, BitMEX has maintained an impeccable security record with “no coin lost, ever!”.

Our platform caters to cryptocurrency derivatives traders by providing low latency, deep liquidity, and maximum availability. Currently, BitMEX offers more than 100 derivatives contracts, 16 pairs for spot trading, and an easy covert function between 30+ different cryptocurrencies.

In 2015, BitMEX revolutionised the market by inventing the Perpetual Swap, which has since become the most widely traded crypto product. Demonstrating a commitment to transparency, since 2021, BitMEX has been among the first exchanges to regularly publish its on-chain Proof of Reserves and Proof of Liabilities, ensuring that the funds available exceed the total client balances."

For more information on BitMEX, company initiatives and our products, please visit the BitMEX Blog or www.bitmex.com, and follow LinkedIn, Discord, Telegram and X.

Overview

The Data Engineering team is part of the broader DevOps department, and sits at the core of the business, bridging the fast-paced and never-ending data feeds from the BitMEX trading platform to the entirety of the firm. Whether it is about business development, financial products, risk management, compliance & market surveillance, marketing – consistent and reliable data is key, making Data Engineering the cornerstone to the firm’s success.

Responsibilities

  • Design and maintain enhancements to our data warehouse, data lake, and data pipelines to increase their reliability and consistency
  • Improve queriability of large historical datasets through industry-standard tools, careful data representation and aggregation for both technical and business units

Qualifications

  • Minimum 4+ years experience in the data engineering field with demonstrated design and technical implementation of data warehouses
  • Experience with OLAP databases, how they differ from OLTP databases, and data structuring/modeling with understanding of key data points in a business sense for trade-offs between storage/performance and usability
  • Experience building, deploying, and troubleshooting reliable, idempotent and consistent data pipelines working with disparate in-house and external data-sources, e.g. using Airflow DAGs
  • Experience with AWS Redshift, Glue Data Catalog, S3, PostgreSQL, Parquet, Iceberg, Trino, and how they are managed using Terraform & Kubernetes
  • Candidates with less experience will be considered for the Data Engineer position

Why BitMEX?

BitMEX is a place of intense work, fun, and diversity, all at the same time. We hire across different time zones, to support the growing demands and to bring in the best of the best talents across the world.

We are looking for individuals who are determined, responsible and collaborative to join BitMEX as we continue to build a thriving cryptocurrency ecosystem. We value attention to detail, speed and simplicity. As a global business operating a 24/7 exchange, we seek out those who are adaptable and can work across markets in a diversity team.

We provide flexible arrangements to our remote contract talents with:

  • Work from home to help you find the perfect balance between work, family and personal life
  • Paid holidays and leave so you won’t miss out any important events
  • Team building & offsite events to bring our global team closer
  • Take advantage of our Beyond BorderRemote Working policy, where you get to work away from your home country
  • Option to choose to be paid in fiat or crypto currency, providing the flexibility to shape your financial freedom

Does this sound like the type of working culture you can thrive in? Apply online now!

Advice from our career coach

A successful applicant for this Data Engineering position at BitMEX should have a solid understanding of data warehousing, data lakes, and data pipelines. Here are some tips to help you stand out:

  • Highlight your experience with designing and maintaining data warehouses and data pipelines to enhance reliability and consistency.
  • Showcase your expertise in improving queriability of large historical datasets through industry-standard tools and data representation.
  • Demonstrate your knowledge of OLAP databases, data structuring/modeling, and key data points in a business sense for trade-offs between storage/performance and usability.
  • Emphasize your experience in building, deploying, and troubleshooting reliable data pipelines with disparate data sources, including using Airflow DAGs.
  • Highlight your experience with AWS Redshift, Glue Data Catalog, S3, PostgreSQL, Parquet, Iceberg, Trino, Terraform, and Kubernetes.
  • Even if you have less than 4 years of experience, consider applying for the Data Engineer position.

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About the job

Oct 17, 2024

Full-time

  1. AS American Samoa
  2. AU Australia
  3. BD Bangladesh
  4. BN Brunei
  5. BT Bhutan
  6. BU Remote
  7. CC Cocos (Keeling) Islands
  8. CN China
  9. CX Christmas Island
  10. FJ Fiji
  11. FM Micronesia
  12. GU Guam
  13. HK Hong Kong SAR China
  14. ID Indonesia
  15. IN India
  16. IO British Indian Ocean Territory
  17. JP Japan
  18. KH Cambodia
  19. KI Kiribati
  20. KR South Korea
  21. LA Laos
  22. LK Sri Lanka
  23. MH Marshall Islands
  24. MN Mongolia
  25. MO Macao SAR China
  26. MP Northern Mariana Islands
  27. MV Maldives
  28. MY Malaysia
  29. NC New Caledonia
  30. NF Norfolk Island
  31. NP Nepal
  32. NR Nauru
  33. NU Niue
  34. NZ New Zealand
  35. PF French Polynesia
  36. PG Papua New Guinea
  37. PH Philippines
  38. PK Pakistan
  39. PN Pitcairn Islands
  40. PW Palau
  41. SB Solomon Islands
  42. SG Singapore
  43. TH Thailand
  44. TK Tokelau
  45. TL Timor-Leste
  46. TO Tonga
  47. TV Tuvalu
  48. TW Taiwan
  49. UM U.S. Outlying Islands
  50. VN Vietnam
  51. VU Vanuatu
  52. WF Wallis & Futuna
  53. WS Samoa

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