Description review

Senior Data Engineer

Deep DSG · Remote · back to the listing

HR standards

52/100

needs work

Title ↔ description

85/100

strong

Reads as

Data Engineer

100% confident

How others title the same work

Large employers

  • Data Engineer, Product Analytics Meta
  • Senior Staff Data Engineer Mozilla
  • Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
  • Senior Software Engineer - Data Platform Coinbase
  • Senior Security Data Engineer Doordash

Startups

  • Business Intelligence Engineer GoSats
  • IPinfo.io | Data Engineer | REMOTE (Anywhere) | Full-time IPinfo.io
  • Senior Data Engineer Camber
  • Senior Data Engineer Instrumentl
  • Cardog | Toronto, Canada or REMOTE | Full-time Cardog

What the listing never says

  • 30 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Deep Digital are seeking a highly skilled and experienced Senior Data Engineer with a proven track record in successfully implementing, optimizing, and maintaining the data integration and historian systems.

The ideal candidate will possess in-depth knowledge of industrial processes, data historian best practices, and a strong ability to lead and mentor junior team members. This role involves advanced technical responsibilities and collaboration with cross-functional teams to ensure the seamless operation of data integration and historian systems.

Responsibilities

• Lead the design, implementation, and optimization of data historian solutions.

• Lead efforts to integrate historian systems with various control systems and third-party applications.

• Conduct performance analysis and implement strategies for continuous improvement.

• Design and configure complex data tags to meet specific project requirements

• Develop custom interfaces and connectors to enhance data integration capabilities

• Develop and implement advanced security measures to protect historical data.

• Ensure compliance with industry standards and regulations, taking a lead role in audits and assessments

• Investigate and resolve complex issues related to data collection, storage, and retrieval.

• Provide technical leadership and mentorship to junior engineers in the team

• Maintain comprehensive documentation for all configurations, installations, and troubleshooting procedures.

• Comply with Deep Digitals Quality Management System requirements i.e. perform your work according to your process documents, procedures and maintaining document information/completing department forms/records as required.

Job benefits:

• Remote working

• 22 days Annual leave

• Company pension

• Medical insurance

• Employee Assistance Program

• Income Protection

• Life Insurance

• Sports an Social Club

• Paid sick leave

• Bike to work scheme

• Professional development

Requirements

• Bachelors degree in Software Engineering, Computer Science, Information Technology or related field

• Between 3 and 5 years of hands-on experience with design, implementation and leadership in projects, comprising of the following systems: AVEVA PI, AspenTech IP.21, AspenTech Inmation, Inductive Automation Ignition, PTC Kepware.

• In-depth knowledge of data integration and historian system architecture and components.

• Strong understanding of industrial processes and automation systems.

• Expertise with data contextualisation, visualisation and reporting platforms.

• Proficiency in scripting languages (e.g., PowerShell) for automation tasks.

• Previous experience in mentoring and leading a technical team

• Good communication skills

Highlights

If you are a talented Data Engineer looking to contribute to cutting-edge projects in a dynamic environment, we encourage you to apply.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 60 before penalties). Reviewed 21 Sep 2026.