Rating distribution:
0 reviews rated 5 out of 5 stars.
0 reviews rated 4 out of 5 stars.
15 reviews rated 3 out of 5 stars.
2 reviews rated 2 out of 5 stars.
0 reviews rated 1 out of 5 stars.
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4
3
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Detail Ratings
Work life balance
4.0
Career Growth
3.0
Work flexibility
4.0
Job Security
3.0
Pay and benefits
3.0
Leadership
3.0
Company Culture
3.0
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Pros: I've really enjoyed my time as a Data/AI Solutions Architect at Infinite Lambda. The exposure to diverse projects in the data and AI consulting industry is fantastic, constantly learning new cloud technologies and data engineering patterns. The team is incredibly supportive, fostering a truly collaborative environment where knowledge sharing is common. There are great opportunities for career growth, with clear paths to advance my skills in machine learning and data platforms. The work
Cons: While the work-life balance is generally good, there are definitely periods, especially during critical project deadlines or client go-lives, where the workload can become very intense. Sometimes, the approval processes for new tools or project approaches could be streamlined a bit to improve efficiency for a Data/AI Solutions Architect. More consistent communication about the long-term career progression for senior roles in the data science or data engineering tracks would also be beneficial.
Advice to Management: Continue to invest in tools and processes that help manage workload spikes during intense project phases, and ensure consistent, transparent communication regarding advanced career progression paths within the data and AI solutions architect domain.
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Pros: I've enjoyed the remote work flexibility as a Data Engineer. It's great to WFH and manage my own schedule. The team on data analytics projects is usually pretty collaborative.
Cons: Company culture can feel a bit fragmented being fully remote. There aren't many social events, so connecting with colleagues beyond project work is tough. Sometimes leadership communication feels a bit distant.
Advice to Management: Try to implement more virtual team-building events or even regional meetups. It would really help bridge the gap for remote employees and strengthen the company culture.
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Pros: I really liked the work flexibility here as a Cloud Engineer. Being able to work remote from Lisbon was a huge plus, and I rarely felt micromanaged. The general culture for a tech consulting firm was pretty chill.
Cons: The biggest downside is the work-life balance sometimes takes a hit. Client deadlines can be brutal, leading to some long weeks for us in data engineering. It's not consistent, but those periods are tough.
Advice to Management: Try to better manage client expectations and project scopes. This would really help improve the work-life balance for tech consulting roles.
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Pros: The work from home policy is a lifesaver. As a Data Engineer, I've got good control over my daily schedule. It's solid for anyone looking for remote work in a data & cloud consultancy.
Cons: Client project demands can be unpredictable, making truly flexible hours tough. You sometimes feel pressured to be online past normal hours, even remote from the UK.
Advice to Management: Try to shield consultants more from aggressive client demands during off-hours to truly support remote flexibility.
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Pros: The work flexibility is great here. As a Data Engineer, I can work remotely most days, which is a huge plus. The hybrid model means I'm not stuck in the London office daily. It really helps balance my personal life with project deadlines.
Cons: Sometimes client demands mean you have to be less flexible than you'd like. For specific data analytics projects, some clients prefer more onsite presence. It can be a bit tricky to manage when that happens, even with our usual flexible hours.
Advice to Management: Keep pushing for that remote-first culture. Also, try to manage client expectations better regarding onsite requirements for technical roles in data consulting.
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Pros: The base salary for a Data Engineer was pretty competitive, especially when I started. They also covered a decent home office setup, which is a nice perk for remote work. For a company focused on AWS and Azure cloud solutions, the pay was generally solid.
Cons: I felt like the benefits package wasn't really keeping up with other UK-based tech firms. There aren't many unique perks beyond the basic health insurance. The annual bonus structure also felt a bit vague and not very impactful, especially for technical roles.
Advice to Management: Consider enhancing the benefits package beyond the standard offerings. Maybe look into better wellness programs or more structured professional development budgets for technical roles. Clarity on bonus metrics would also be really helpful.
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Pros: It's great being able to work remotely from London. The WFH policy is really solid here, which helps a lot as a Data Engineer. I don't miss the commute at all.
Cons: Sometimes the team collaboration can feel a bit disconnected when everyone's remote. It's tough to get quick answers sometimes. There aren't many clear guidelines for hybrid options for our data analytics teams.
Advice to Management: Maybe try to implement some clearer hybrid options or dedicated collaboration days for remote teams. It could help boost team cohesion in our data engineering department.
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Pros: You get to work on diverse cloud solutions like AWS and GCP. There are lots of chances to pick up new tools and frameworks quickly. It's a solid place for a junior Data Engineer to gain experience fast. Being fully remote from London is a huge plus for work-life balance.
Cons: Career growth isn't really well-defined here. It's hard to move up without a clear structure in place. Promotion criteria feel a bit vague for a mid-sized tech consultancy. Sometimes projects end abruptly, which can impact long-term skill development.
Advice to Management: You really need to map out clearer career paths for employees. Make promotion criteria more transparent, especially for Data Engineer roles.
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Pros: The base pay for data analytics projects is pretty solid, especially for remote roles. I've seen worse offers at other cloud consulting firms. They do offer a decent hardware budget, which is nice.
Cons: The actual benefits package isn't great. Health insurance could be much more comprehensive. There aren't many perks beyond the basics, and no real bonus structure, which feels a bit stingy compared to what I've heard from peers in the industry.
Advice to Management: Revisit the benefits package. Better health insurance and a clear bonus plan would make a huge difference in attracting and keeping good talent, especially for experienced Data Engineer roles.
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Pros: I really liked the fully remote setup; it's genuinely flexible. As a Data Engineer, I had a good WFH environment right away, which makes a big difference. They trust you to manage your time, which is key for work flexibility.
Cons: The big downside is that client projects, especially in cloud solutions, often have super tight deadlines. It can mean some pretty intense work weeks to get things done. Sometimes you feel a bit on your own during those pushes.
Advice to Management: Try to manage client expectations better on project timelines, or staff more effectively during peak demand. More support during those tough sprints would really help.
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