Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 115 days ago

Data Engineer, Forward Deployed

Applied Computing4 open roles

Where
London, United Kingdom
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Engineer, Forward DeployedApplied Computing · London, United Kingdom

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Applied Computing's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 115 days ago

The posting

Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet.

The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.

We’ve raised over $32 million, including one of the largest seed rounds for an AI company in the UK. We’re just getting started

The Role

As our Data Engineer, you’ll architect and maintain pipelines that make high-frequency time-series, lab, and historian data into a scalable Lakehouse architecture, usable for both deep learning models and real-time LLMs. You’ll be working across AWS (EKS, S3, EBS, KMS, CloudWatch) and Databricks/PySpark, ensuring data is contextualised, synchronised, and optimised for both deep learning models and real-time LLM workloads.

This isn’t a traditional ETL role, you’ll be solving problems at the intersection of control systems, industrial data engineering, and AI enablement.

Technical Requirements

  • Deep expertise in PostgreSQL (partitioning, indexing, query optimisation, storage design).
  • Strong proficiency in Python for data processing, scripting, and pipeline orchestration.
  • Hands-on experience with AWS (EKS, S3, EBS, IAM, KMS, CloudWatch, etc.)for secure and scalable data pipelines.
  • Proven ability to work with Databricks and PySpark for large-scale distributed data processing.
  • Familiarity with time-series industrial data (control systems, DCS/SCADA logs, process historians).
  • Experience in unstructured data sync and management within hybrid cloud/on-prem environments.
  • Bonus: Experience working as a data engineer in oil and gas or energy environments
  • Bonus: Knowledge of streaming frameworks (Kafka, Flink, Spark Streaming) or MLOps stacks for data versioning and lineage.

Core Responsibilities

1. Ingest & Contextualise Data

  • Ingest from OPC UA servers, process historians, IoT sensors, LIMS systems, alarms/events, and P&IDs.
  • Map signals to their physical processes (tags, units, hierarchies) for interpretability in AI pipelines.

2. Data Movement & Accessibility

  • Build pipelines that handle real-time streaming and batch ingestion into the Lakehouse.
  • Manage synchronisation between historian archives, unstructured files, and AWS storage (S3/EBS).
  • Orchestrate Databricks Lakeflow/Connectors for integrating data into Lakebase/Lakehouse.
  • Handle secure, high-throughput transfers between historian archives and sandbox/live environments.

3. Change Tracking & Integrity

  • Detect and manage schema changes, signal drift, and inconsistencies acrosstime.
  • Implement lineage and audit trails across Spark/Databricks and AWS pipelines.

4. Data Preparation for AI

  • Build and maintaindual pipelines: Training→ large-scale historical data prep for time-series + LLM training. Inference→ low-latency, real-time pipelines for anomaly detection, optimisation, and LLM search.
  • Support heterogeneous AI workloads (time-series forecasting and retrieval-augmented LLMs).

5. Database Performance & Optimisation

  • Tune PostgreSQLand sparkfor high-throughput time-series workloads (partitioning, indexing, query optimisation).
  • Optimise pipelines for both fast analytical queries and high-efficiency model training.
  • Deploy and manage data pipelines in AWS EKS (Kubernetes) with persisten tEBS-backed storage.

What Success Looks Like

  • Live data streams are contextualised,queryable, and AI-ready.
  • Schema changes and signal drift are detected and handled without breaking downstream workflows.
  • Training and inference pipelines run smoothly in parallel, optimised for scale and latency.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Applied Computing's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Applied Computing's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Applied Computing's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.